diff --git a/scripts/generate-site.py b/scripts/generate-site.py index 7853272..956b257 100644 --- a/scripts/generate-site.py +++ b/scripts/generate-site.py @@ -371,6 +371,7 @@ def careers_main() -> str: """ for (title, body) in CAREERS_REASONS ) + role_tiles = render_career_role_tiles() return ( page_hero( "Careers", @@ -417,36 +418,15 @@ def careers_main() -> str:
- -

Software engineer - Cloud platforms

-
Multiple - Global
- - -

AI/ML engineer

-
Bengaluru / Pune / Toronto
- - -

Cybersecurity consultant

-
London / Frankfurt / Singapore
- - -

Product designer

-
New York / Amsterdam
- - -

Data engineer

-
Multiple - Global
- - -

SAP S/4HANA architect

-
Walldorf / Mumbai
- +""" + role_tiles + """
""" + cta_strip("Don't see your role? Send us your CV anyway.", "Send a note", "contact.html")) + + INVESTORS_HIGHLIGHTS = [ ("FY25 revenue", "$29.1B", "+8.4% YoY in constant currency"), ("Operating margin", "24.6%", "Sustained Tier-1 IT services band"), @@ -2100,6 +2080,259 @@ def case_studies_main() -> str: } +CAREER_ROLES = [ + { + "slug": "career-software-engineer-cloud-platforms.html", + "variant": "media--ocean", + "title": "Software engineer - Cloud platforms", + "locations": "Multiple - Global", + "meta_title": "Software engineer, Cloud platforms - Careers - Tata Consulting Services, PLC", + "meta_description": "Design and operate the multi-cloud infrastructure and platform tooling behind client migrations run at global scale. Multiple locations, worldwide.", + "lead": "You'll design and operate the multi-cloud infrastructure underneath our largest client migrations, with production ownership from day one.", + "summary": [ + "You'll join a platform engineering group that designs, builds, and operates the cloud infrastructure underneath our largest client migrations - workloads spanning AWS, Azure, and GCP, often across regulated industries where downtime has a real cost.", + "This isn't a maintenance role. You'll be shipping infrastructure-as-code, container platforms, and CI/CD tooling that client teams depend on directly, with production ownership from day one.", + ], + "responsibilities": [ + ("Build", "Design and build cloud infrastructure", "Author Terraform and Kubernetes manifests for multi-tenant environments serving enterprise clients, with an eye toward cost, security, and repeatability."), + ("Operate", "Own what you ship in production", "Carry rotation for the platforms you build. Write the runbooks, tune the alerts, and be the first call when something breaks."), + ("Improve", "Raise the platform's floor", "Find the manual step nobody's automated yet and remove it. Every quarter, the platform should need less human intervention than the one before."), + ], + "requirements": [ + ("Must have", "3+ years in cloud infrastructure", "Production experience with at least one major cloud provider and infrastructure-as-code (Terraform, Pulumi, or CloudFormation)."), + ("Must have", "Container orchestration", "Comfortable operating Kubernetes in production - not just deploying to it, but debugging it at 2am."), + ("Preferred", "A scripting language", "Python or Go, well enough to write tooling, not just glue code."), + ("Preferred", "Regulated-industry exposure", "Prior work in banking, insurance, or healthcare, where change control and audit trails are part of the job."), + ], + }, + { + "slug": "career-ai-ml-engineer.html", + "variant": "media--neon", + "title": "AI/ML engineer", + "locations": "Bengaluru / Pune / Toronto", + "meta_title": "AI/ML engineer - Careers - Tata Consulting Services, PLC", + "meta_description": "Take machine learning models from notebook to production for enterprise clients - MLOps, model serving, and the evaluation discipline that keeps them honest.", + "lead": "You'll take machine learning models from a data scientist's notebook to production - MLOps, model serving, and the evaluation discipline that keeps them honest.", + "summary": [ + "You'll work alongside our AI & Data practice to take models from a data scientist's notebook into production systems that enterprise clients actually run - which means MLOps, model serving, monitoring, and the evaluation discipline that catches drift before a client does.", + "Clients bring genuinely hard problems: fraud detection at transaction-time latency, demand forecasting across volatile supply chains, document extraction pipelines that have to be right, not just plausible.", + ], + "responsibilities": [ + ("Build", "Productionise models", "Turn research-quality models into services with defined SLAs - versioned, monitored, and rollback-able like any other production system."), + ("Evaluate", "Own the evaluation harness", "Build and maintain the offline and online evaluation suites that tell us - before the client does - when a model's performance has degraded."), + ("Partner", "Work directly with client data science teams", "Pair with client-side practitioners to transfer the operational discipline, not just hand over a deployed endpoint."), + ], + "requirements": [ + ("Must have", "2+ years shipping ML in production", "Experience taking at least one model beyond a notebook - training pipelines, serving infrastructure, monitoring."), + ("Must have", "Strong Python", "Comfortable across the modern ML stack - PyTorch or TensorFlow, plus the surrounding tooling (MLflow, Airflow, or equivalents)."), + ("Preferred", "MLOps platform experience", "Kubeflow, SageMaker, Vertex AI, or a comparable production ML platform."), + ("Preferred", "Domain exposure", "Prior work in fraud, forecasting, or document/NLP pipelines is a strong plus."), + ], + }, + { + "slug": "career-cybersecurity-consultant.html", + "variant": "media--steel", + "title": "Cybersecurity consultant", + "locations": "London / Frankfurt / Singapore", + "meta_title": "Cybersecurity consultant - Careers - Tata Consulting Services, PLC", + "meta_description": "Advise enterprise clients on zero-trust architecture, identity, and incident readiness - assessment through to implementation, across regulated industries.", + "lead": "You'll advise enterprise clients on zero-trust architecture, identity, and incident readiness - assessment through to hands-on implementation.", + "summary": [ + "You'll advise enterprise clients across banking, insurance, and public sector on security posture - from architecture review and threat modelling through to hands-on implementation of identity, segmentation, and detection controls.", + "Our clients don't need another slide deck telling them they're at risk. They need someone who can sit with their platform teams and get zero-trust principles actually implemented, on their timeline, without breaking the systems that run their business.", + ], + "responsibilities": [ + ("Assess", "Run security assessments and audits", "Lead architecture reviews, threat modelling sessions, and control gap assessments against frameworks like NIST, ISO 27001, and industry-specific regulation."), + ("Advise", "Translate risk into a roadmap", "Turn assessment findings into a prioritised remediation plan the client's engineering teams can actually execute against."), + ("Implement", "Get hands-on where it counts", "Work directly alongside client teams on identity, network segmentation, and telemetry implementation - not just advisory from the sidelines."), + ], + "requirements": [ + ("Must have", "4+ years in security consulting or engineering", "Direct experience advising on or implementing security architecture for enterprise environments."), + ("Must have", "A recognised certification", "CISSP, CISM, or equivalent - or a clear path to obtaining one within your first year, which we'll sponsor."), + ("Preferred", "Regulatory framework depth", "Familiarity with financial-services or public-sector compliance regimes (PCI DSS, DORA, FedRAMP, or local equivalents)."), + ("Preferred", "Client-facing consulting experience", "Comfortable running a workshop with a client CISO as well as a technical deep-dive with their platform engineers."), + ], + }, + { + "slug": "career-product-designer.html", + "variant": "media--sunset", + "title": "Product designer", + "locations": "New York / Amsterdam", + "meta_title": "Product designer - Careers - Tata Consulting Services, PLC", + "meta_description": "Design digital products for enterprise clients - research, systems thinking, and craft, working directly with engineering from day one.", + "lead": "You'll design digital products for enterprise clients, embedded with engineering from research through to delivery.", + "summary": [ + "You'll design digital products and experiences for enterprise clients - often replacing decades-old internal tools that the people using them have simply learned to tolerate.", + "This is a hands-on craft role embedded with engineering, not a design team working in isolation. You'll do the research, build the system, and stay involved through implementation - so what ships matches what you designed.", + ], + "responsibilities": [ + ("Research", "Understand the people who'll use it", "Run discovery with end users - often frontline staff, not just the stakeholders who commissioned the project - to find where the real friction is."), + ("Design", "Build systems, not just screens", "Design coherent, scalable interaction and visual systems that hold up as a product grows past its first release."), + ("Partner", "Stay involved through delivery", "Work directly with engineering through implementation, reviewing built output against design intent rather than handing off and moving on."), + ], + "requirements": [ + ("Must have", "4+ years in product design", "A portfolio showing shipped work, including the research and systems thinking behind it, not just final screens."), + ("Must have", "Enterprise or complex-workflow experience", "Comfortable designing for dense, multi-step, permission-gated workflows - not just consumer-simple flows."), + ("Preferred", "Design systems experience", "Prior work building or extending a component-based design system used by multiple teams."), + ("Preferred", "Fluency with engineering", "Enough front-end literacy to have a real conversation with the engineers building your designs."), + ], + }, + { + "slug": "career-data-engineer.html", + "variant": "media--forest", + "title": "Data engineer", + "locations": "Multiple - Global", + "meta_title": "Data engineer - Careers - Tata Consulting Services, PLC", + "meta_description": "Build the pipelines and data platforms that power analytics, reporting, and AI for enterprise clients at global scale.", + "lead": "You'll build and operate the data pipelines and platforms that power analytics, reporting, and AI at global scale.", + "summary": [ + "You'll build and operate the data pipelines and platforms that feed analytics, regulatory reporting, and AI workloads for enterprise clients - often moving petabyte-scale data out of legacy warehouses and into modern, governed platforms.", + "The work is unglamorous in the best way: data quality, lineage, and pipeline reliability, done well enough that the analysts and data scientists downstream never have to think about it.", + ], + "responsibilities": [ + ("Build", "Design and build data pipelines", "Build batch and streaming pipelines using tools like Spark, Kafka, and Airflow, with data quality and lineage built in from the start, not bolted on after."), + ("Model", "Design data models clients can trust", "Design warehouse and lakehouse schemas that hold up under real query load and evolve without breaking every downstream consumer."), + ("Govern", "Make data trustworthy", "Implement the governance, cataloguing, and access-control layer that lets a client's analysts self-serve without a data engineer in the loop for every request."), + ], + "requirements": [ + ("Must have", "3+ years in data engineering", "Production experience building and operating pipelines at meaningful scale - not just prototypes."), + ("Must have", "SQL and a pipeline framework", "Strong SQL plus hands-on experience with Spark, dbt, Airflow, or a comparable orchestration/transformation stack."), + ("Preferred", "Cloud data platform depth", "Experience with Snowflake, BigQuery, Databricks, or Redshift at production scale."), + ("Preferred", "Streaming experience", "Kafka or a comparable streaming platform, for clients moving from batch to near-real-time reporting."), + ], + }, + { + "slug": "career-sap-s4hana-architect.html", + "variant": "media--ember", + "title": "SAP S/4HANA architect", + "locations": "Walldorf / Mumbai", + "meta_title": "SAP S/4HANA architect - Careers - Tata Consulting Services, PLC", + "meta_description": "Lead SAP S/4HANA transformation programmes for enterprise clients - architecture, migration strategy, and integration design.", + "lead": "You'll lead solution architecture for SAP S/4HANA transformation programmes, from migration strategy through to go-live.", + "summary": [ + "You'll lead solution architecture for SAP S/4HANA transformation programmes - core ERP migrations for clients where the finance, supply chain, or manufacturing backbone genuinely cannot go down.", + "You'll set the migration strategy (greenfield, brownfield, or selective data transition), design the integration landscape around it, and stay accountable for the architecture through go-live, not just the design phase.", + ], + "responsibilities": [ + ("Architect", "Own the target architecture", "Define the S/4HANA solution architecture, module scope, and integration landscape for large-scale ERP transformation programmes."), + ("Strategise", "Choose the right migration path", "Assess and recommend greenfield, brownfield, or selective data transition based on the client's data quality, customisation depth, and timeline."), + ("Govern", "Stay accountable through go-live", "Chair architecture review boards through build and cutover, resolving design conflicts before they become production incidents."), + ], + "requirements": [ + ("Must have", "6+ years in SAP architecture", "Led solution architecture for at least one full S/4HANA implementation or migration, start to go-live."), + ("Must have", "Cross-module depth", "Strong grounding across FI/CO plus at least one of MM, SD, or PP, and how they integrate."), + ("Preferred", "SAP BTP and integration", "Experience with SAP Business Technology Platform and integration tooling (SAP PI/PO, Integration Suite, or equivalent)."), + ("Preferred", "Certification", "SAP-certified in S/4HANA architecture or a relevant module; we'll sponsor renewal and further certification."), + ], + }, +] + +CAREER_ROLES_BY_SLUG = {role["slug"]: role for role in CAREER_ROLES} + + +def render_career_role_tiles() -> str: + return "\n".join( + f""" +

{role["title"]}

+
{role["locations"]}{ARROW}
+ """ + for role in CAREER_ROLES + ) + + +def render_related_career_tiles(exclude_slug: str) -> str: + others = [role for role in CAREER_ROLES if role["slug"] != exclude_slug][:3] + return "\n".join( + f""" + Also hiring +

{role["title"]}

+
{role["locations"]}{ARROW}
+ """ + for role in others + ) + + +def career_detail_main(role: dict) -> str: + intro_paras = "\n".join(f"

{p}

" for p in role["summary"]) + responsibilities = render_detail_panels(role["responsibilities"]) + requirements = render_capability_tiles(role["requirements"]) + related = render_related_career_tiles(role["slug"]) + return ( + page_hero("Open role - " + role["locations"], role["title"], role["lead"]) + + f""" +
+
+
+
+

About the role.

+{intro_paras} + Apply for this role + {ARROW} + +
+
+
+

{role["locations"]}

+
+
+
+
+ +
+
+
+ What you'll do +

The shape of the work.

+
+
+{responsibilities} +
+
+
+ +
+
+
+ What you'll bring +

What we're looking for.

+
+
+{requirements} +
+
+
+ +
+
+
+
+ Also hiring +

Other open roles you might like.

+
+ See all open roles + {ARROW} + +
+
+{related} +
+
+
+""" + + cta_strip(f"Ready to apply for {role['title']}?", "Send your CV", "contact.html") + ) + + +CAREER_ROLE_PAGE_STUBS = { + role["slug"]: { + "title": role["meta_title"], + "description": role["meta_description"], + "main_html": career_detail_main(role), + } + for role in CAREER_ROLES +} + + def legal_main(eyebrow: str, title: str, lead: str, sections: list) -> str: body = "" for s in sections: @@ -2298,6 +2531,7 @@ def accessibility_main() -> str: }, **RUN_SERVICE_PAGE_STUBS, **CASE_STUDY_PAGE_STUBS, + **CAREER_ROLE_PAGE_STUBS, "privacy.html": { "title": "Privacy notice - Tata Consulting Services, PLC", "description": "How Tata collects, uses, shares, and safeguards personal information.", diff --git a/site/career-ai-ml-engineer.html b/site/career-ai-ml-engineer.html new file mode 100644 index 0000000..03822ad --- /dev/null +++ b/site/career-ai-ml-engineer.html @@ -0,0 +1,346 @@ + + + + + + AI/ML engineer - Careers - Tata Consulting Services, PLC + + + + + + + + + + + + +
+
+ United Kingdom - English + Investors + Newsroom + Alumni + Platform +
+
+ +
+
+ + + + +
+ + Contact us + + +
+ + +
+
+ +
+ + + Contact us + + +
+ + + +
+
+
+ Open role - Bengaluru / Pune / Toronto +

AI/ML engineer

+

You'll take machine learning models from a data scientist's notebook to production - MLOps, model serving, and the evaluation discipline that keeps them honest.

+
+
+ +
+
+
+
+

About the role.

+

You'll work alongside our AI & Data practice to take models from a data scientist's notebook into production systems that enterprise clients actually run - which means MLOps, model serving, monitoring, and the evaluation discipline that catches drift before a client does.

+

Clients bring genuinely hard problems: fraud detection at transaction-time latency, demand forecasting across volatile supply chains, document extraction pipelines that have to be right, not just plausible.

+ Apply for this role + + +
+
+
+

Bengaluru / Pune / Toronto

+
+
+
+
+ +
+
+
+ What you'll do +

The shape of the work.

+
+
+
+ Build +

Productionise models

+

Turn research-quality models into services with defined SLAs - versioned, monitored, and rollback-able like any other production system.

+
+
+ Evaluate +

Own the evaluation harness

+

Build and maintain the offline and online evaluation suites that tell us - before the client does - when a model's performance has degraded.

+
+
+ Partner +

Work directly with client data science teams

+

Pair with client-side practitioners to transfer the operational discipline, not just hand over a deployed endpoint.

+
+
+
+
+ +
+
+
+ What you'll bring +

What we're looking for.

+
+
+
+ Must have +

2+ years shipping ML in production

+

Experience taking at least one model beyond a notebook - training pipelines, serving infrastructure, monitoring.

+
+
+ Must have +

Strong Python

+

Comfortable across the modern ML stack - PyTorch or TensorFlow, plus the surrounding tooling (MLflow, Airflow, or equivalents).

+
+
+ Preferred +

MLOps platform experience

+

Kubeflow, SageMaker, Vertex AI, or a comparable production ML platform.

+
+
+ Preferred +

Domain exposure

+

Prior work in fraud, forecasting, or document/NLP pipelines is a strong plus.

+
+
+
+
+ +
+
+
+
+ Also hiring +

Other open roles you might like.

+
+ See all open roles + + +
+
+ + Also hiring +

Software engineer - Cloud platforms

+
Multiple - Global
+ + + Also hiring +

Cybersecurity consultant

+
London / Frankfurt / Singapore
+ + + Also hiring +

Product designer

+
New York / Amsterdam
+ +
+
+
+ +
+
+

Ready to apply for AI/ML engineer?

+ Send your CV + + +
+
+
+ + + + + + diff --git a/site/career-cybersecurity-consultant.html b/site/career-cybersecurity-consultant.html new file mode 100644 index 0000000..0bb6e9e --- /dev/null +++ b/site/career-cybersecurity-consultant.html @@ -0,0 +1,346 @@ + + + + + + Cybersecurity consultant - Careers - Tata Consulting Services, PLC + + + + + + + + + + + + +
+
+ United Kingdom - English + Investors + Newsroom + Alumni + Platform +
+
+ +
+
+ + + + +
+ + Contact us + + +
+ + +
+
+ +
+ + + Contact us + + +
+ + + +
+
+
+ Open role - London / Frankfurt / Singapore +

Cybersecurity consultant

+

You'll advise enterprise clients on zero-trust architecture, identity, and incident readiness - assessment through to hands-on implementation.

+
+
+ +
+
+
+
+

About the role.

+

You'll advise enterprise clients across banking, insurance, and public sector on security posture - from architecture review and threat modelling through to hands-on implementation of identity, segmentation, and detection controls.

+

Our clients don't need another slide deck telling them they're at risk. They need someone who can sit with their platform teams and get zero-trust principles actually implemented, on their timeline, without breaking the systems that run their business.

+ Apply for this role + + +
+
+
+

London / Frankfurt / Singapore

+
+
+
+
+ +
+
+
+ What you'll do +

The shape of the work.

+
+
+
+ Assess +

Run security assessments and audits

+

Lead architecture reviews, threat modelling sessions, and control gap assessments against frameworks like NIST, ISO 27001, and industry-specific regulation.

+
+
+ Advise +

Translate risk into a roadmap

+

Turn assessment findings into a prioritised remediation plan the client's engineering teams can actually execute against.

+
+
+ Implement +

Get hands-on where it counts

+

Work directly alongside client teams on identity, network segmentation, and telemetry implementation - not just advisory from the sidelines.

+
+
+
+
+ +
+
+
+ What you'll bring +

What we're looking for.

+
+
+
+ Must have +

4+ years in security consulting or engineering

+

Direct experience advising on or implementing security architecture for enterprise environments.

+
+
+ Must have +

A recognised certification

+

CISSP, CISM, or equivalent - or a clear path to obtaining one within your first year, which we'll sponsor.

+
+
+ Preferred +

Regulatory framework depth

+

Familiarity with financial-services or public-sector compliance regimes (PCI DSS, DORA, FedRAMP, or local equivalents).

+
+
+ Preferred +

Client-facing consulting experience

+

Comfortable running a workshop with a client CISO as well as a technical deep-dive with their platform engineers.

+
+
+
+
+ +
+
+
+
+ Also hiring +

Other open roles you might like.

+
+ See all open roles + + +
+
+ + Also hiring +

Software engineer - Cloud platforms

+
Multiple - Global
+ + + Also hiring +

AI/ML engineer

+
Bengaluru / Pune / Toronto
+ + + Also hiring +

Product designer

+
New York / Amsterdam
+ +
+
+
+ +
+
+

Ready to apply for Cybersecurity consultant?

+ Send your CV + + +
+
+
+ + + + + + diff --git a/site/career-data-engineer.html b/site/career-data-engineer.html new file mode 100644 index 0000000..a64f56f --- /dev/null +++ b/site/career-data-engineer.html @@ -0,0 +1,346 @@ + + + + + + Data engineer - Careers - Tata Consulting Services, PLC + + + + + + + + + + + + +
+
+ United Kingdom - English + Investors + Newsroom + Alumni + Platform +
+
+ +
+
+ + + + +
+ + Contact us + + +
+ + +
+
+ +
+ + + Contact us + + +
+ + + +
+
+
+ Open role - Multiple - Global +

Data engineer

+

You'll build and operate the data pipelines and platforms that power analytics, reporting, and AI at global scale.

+
+
+ +
+
+
+
+

About the role.

+

You'll build and operate the data pipelines and platforms that feed analytics, regulatory reporting, and AI workloads for enterprise clients - often moving petabyte-scale data out of legacy warehouses and into modern, governed platforms.

+

The work is unglamorous in the best way: data quality, lineage, and pipeline reliability, done well enough that the analysts and data scientists downstream never have to think about it.

+ Apply for this role + + +
+
+
+

Multiple - Global

+
+
+
+
+ +
+
+
+ What you'll do +

The shape of the work.

+
+
+
+ Build +

Design and build data pipelines

+

Build batch and streaming pipelines using tools like Spark, Kafka, and Airflow, with data quality and lineage built in from the start, not bolted on after.

+
+
+ Model +

Design data models clients can trust

+

Design warehouse and lakehouse schemas that hold up under real query load and evolve without breaking every downstream consumer.

+
+
+ Govern +

Make data trustworthy

+

Implement the governance, cataloguing, and access-control layer that lets a client's analysts self-serve without a data engineer in the loop for every request.

+
+
+
+
+ +
+
+
+ What you'll bring +

What we're looking for.

+
+
+
+ Must have +

3+ years in data engineering

+

Production experience building and operating pipelines at meaningful scale - not just prototypes.

+
+
+ Must have +

SQL and a pipeline framework

+

Strong SQL plus hands-on experience with Spark, dbt, Airflow, or a comparable orchestration/transformation stack.

+
+
+ Preferred +

Cloud data platform depth

+

Experience with Snowflake, BigQuery, Databricks, or Redshift at production scale.

+
+
+ Preferred +

Streaming experience

+

Kafka or a comparable streaming platform, for clients moving from batch to near-real-time reporting.

+
+
+
+
+ +
+
+
+
+ Also hiring +

Other open roles you might like.

+
+ See all open roles + + +
+
+ + Also hiring +

Software engineer - Cloud platforms

+
Multiple - Global
+ + + Also hiring +

AI/ML engineer

+
Bengaluru / Pune / Toronto
+ + + Also hiring +

Cybersecurity consultant

+
London / Frankfurt / Singapore
+ +
+
+
+ +
+
+

Ready to apply for Data engineer?

+ Send your CV + + +
+
+
+ + + + + + diff --git a/site/career-product-designer.html b/site/career-product-designer.html new file mode 100644 index 0000000..11228a4 --- /dev/null +++ b/site/career-product-designer.html @@ -0,0 +1,346 @@ + + + + + + Product designer - Careers - Tata Consulting Services, PLC + + + + + + + + + + + + +
+
+ United Kingdom - English + Investors + Newsroom + Alumni + Platform +
+
+ +
+
+ + + + +
+ + Contact us + + +
+ + +
+
+ +
+ + + Contact us + + +
+ + + +
+
+
+ Open role - New York / Amsterdam +

Product designer

+

You'll design digital products for enterprise clients, embedded with engineering from research through to delivery.

+
+
+ +
+
+
+
+

About the role.

+

You'll design digital products and experiences for enterprise clients - often replacing decades-old internal tools that the people using them have simply learned to tolerate.

+

This is a hands-on craft role embedded with engineering, not a design team working in isolation. You'll do the research, build the system, and stay involved through implementation - so what ships matches what you designed.

+ Apply for this role + + +
+
+
+

New York / Amsterdam

+
+
+
+
+ +
+
+
+ What you'll do +

The shape of the work.

+
+
+
+ Research +

Understand the people who'll use it

+

Run discovery with end users - often frontline staff, not just the stakeholders who commissioned the project - to find where the real friction is.

+
+
+ Design +

Build systems, not just screens

+

Design coherent, scalable interaction and visual systems that hold up as a product grows past its first release.

+
+
+ Partner +

Stay involved through delivery

+

Work directly with engineering through implementation, reviewing built output against design intent rather than handing off and moving on.

+
+
+
+
+ +
+
+
+ What you'll bring +

What we're looking for.

+
+
+
+ Must have +

4+ years in product design

+

A portfolio showing shipped work, including the research and systems thinking behind it, not just final screens.

+
+
+ Must have +

Enterprise or complex-workflow experience

+

Comfortable designing for dense, multi-step, permission-gated workflows - not just consumer-simple flows.

+
+
+ Preferred +

Design systems experience

+

Prior work building or extending a component-based design system used by multiple teams.

+
+
+ Preferred +

Fluency with engineering

+

Enough front-end literacy to have a real conversation with the engineers building your designs.

+
+
+
+
+ +
+
+
+
+ Also hiring +

Other open roles you might like.

+
+ See all open roles + + +
+
+ + Also hiring +

Software engineer - Cloud platforms

+
Multiple - Global
+ + + Also hiring +

AI/ML engineer

+
Bengaluru / Pune / Toronto
+ + + Also hiring +

Cybersecurity consultant

+
London / Frankfurt / Singapore
+ +
+
+
+ +
+
+

Ready to apply for Product designer?

+ Send your CV + + +
+
+
+ + + + + + diff --git a/site/career-sap-s4hana-architect.html b/site/career-sap-s4hana-architect.html new file mode 100644 index 0000000..4b1c1b9 --- /dev/null +++ b/site/career-sap-s4hana-architect.html @@ -0,0 +1,346 @@ + + + + + + SAP S/4HANA architect - Careers - Tata Consulting Services, PLC + + + + + + + + + + + + +
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+ United Kingdom - English + Investors + Newsroom + Alumni + Platform +
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+ + Contact us + + +
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+ Open role - Walldorf / Mumbai +

SAP S/4HANA architect

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You'll lead solution architecture for SAP S/4HANA transformation programmes, from migration strategy through to go-live.

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About the role.

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You'll lead solution architecture for SAP S/4HANA transformation programmes - core ERP migrations for clients where the finance, supply chain, or manufacturing backbone genuinely cannot go down.

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You'll set the migration strategy (greenfield, brownfield, or selective data transition), design the integration landscape around it, and stay accountable for the architecture through go-live, not just the design phase.

+ Apply for this role + + +
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Walldorf / Mumbai

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+ What you'll do +

The shape of the work.

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+ Architect +

Own the target architecture

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Define the S/4HANA solution architecture, module scope, and integration landscape for large-scale ERP transformation programmes.

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+ Strategise +

Choose the right migration path

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Assess and recommend greenfield, brownfield, or selective data transition based on the client's data quality, customisation depth, and timeline.

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+ Govern +

Stay accountable through go-live

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Chair architecture review boards through build and cutover, resolving design conflicts before they become production incidents.

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+ What you'll bring +

What we're looking for.

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+ Must have +

6+ years in SAP architecture

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Led solution architecture for at least one full S/4HANA implementation or migration, start to go-live.

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+ Must have +

Cross-module depth

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Strong grounding across FI/CO plus at least one of MM, SD, or PP, and how they integrate.

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+ Preferred +

SAP BTP and integration

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Experience with SAP Business Technology Platform and integration tooling (SAP PI/PO, Integration Suite, or equivalent).

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+ Preferred +

Certification

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SAP-certified in S/4HANA architecture or a relevant module; we'll sponsor renewal and further certification.

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+ +
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+
+
+ Also hiring +

Other open roles you might like.

+
+ See all open roles + + +
+
+ + Also hiring +

Software engineer - Cloud platforms

+
Multiple - Global
+ + + Also hiring +

AI/ML engineer

+
Bengaluru / Pune / Toronto
+ + + Also hiring +

Cybersecurity consultant

+
London / Frankfurt / Singapore
+ +
+
+
+ +
+
+

Ready to apply for SAP S/4HANA architect?

+ Send your CV + + +
+
+
+ + + + + + diff --git a/site/career-software-engineer-cloud-platforms.html b/site/career-software-engineer-cloud-platforms.html new file mode 100644 index 0000000..d55382b --- /dev/null +++ b/site/career-software-engineer-cloud-platforms.html @@ -0,0 +1,346 @@ + + + + + + Software engineer, Cloud platforms - Careers - Tata Consulting Services, PLC + + + + + + + + + + + + +
+
+ United Kingdom - English + Investors + Newsroom + Alumni + Platform +
+
+ +
+
+ + + + +
+ + Contact us + + +
+ + +
+
+ +
+ + + Contact us + + +
+ + + +
+
+
+ Open role - Multiple - Global +

Software engineer - Cloud platforms

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You'll design and operate the multi-cloud infrastructure underneath our largest client migrations, with production ownership from day one.

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About the role.

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You'll join a platform engineering group that designs, builds, and operates the cloud infrastructure underneath our largest client migrations - workloads spanning AWS, Azure, and GCP, often across regulated industries where downtime has a real cost.

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This isn't a maintenance role. You'll be shipping infrastructure-as-code, container platforms, and CI/CD tooling that client teams depend on directly, with production ownership from day one.

+ Apply for this role + + +
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Multiple - Global

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+ +
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+ What you'll do +

The shape of the work.

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+ Build +

Design and build cloud infrastructure

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Author Terraform and Kubernetes manifests for multi-tenant environments serving enterprise clients, with an eye toward cost, security, and repeatability.

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+ Operate +

Own what you ship in production

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Carry rotation for the platforms you build. Write the runbooks, tune the alerts, and be the first call when something breaks.

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+ Improve +

Raise the platform's floor

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Find the manual step nobody's automated yet and remove it. Every quarter, the platform should need less human intervention than the one before.

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+ What you'll bring +

What we're looking for.

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+ Must have +

3+ years in cloud infrastructure

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Production experience with at least one major cloud provider and infrastructure-as-code (Terraform, Pulumi, or CloudFormation).

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+ Must have +

Container orchestration

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Comfortable operating Kubernetes in production - not just deploying to it, but debugging it at 2am.

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+ Preferred +

A scripting language

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Python or Go, well enough to write tooling, not just glue code.

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+ Preferred +

Regulated-industry exposure

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Prior work in banking, insurance, or healthcare, where change control and audit trails are part of the job.

+
+
+
+
+ +
+
+
+
+ Also hiring +

Other open roles you might like.

+
+ See all open roles + + +
+
+ + Also hiring +

AI/ML engineer

+
Bengaluru / Pune / Toronto
+ + + Also hiring +

Cybersecurity consultant

+
London / Frankfurt / Singapore
+ + + Also hiring +

Product designer

+
New York / Amsterdam
+ +
+
+
+ +
+
+

Ready to apply for Software engineer - Cloud platforms?

+ Send your CV + + +
+
+
+ + + + + + diff --git a/site/careers.html b/site/careers.html index 87a1ab8..936eab8 100644 --- a/site/careers.html +++ b/site/careers.html @@ -202,29 +202,29 @@

Hiring across 14 disciplines.

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Software engineer - Cloud platforms

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Multiple - Global
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Multiple - Global
 - +

AI/ML engineer

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Bengaluru / Pune / Toronto
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Bengaluru / Pune / Toronto
 - +

Cybersecurity consultant

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London / Frankfurt / Singapore
+
London / Frankfurt / Singapore
 - +

Product designer

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New York / Amsterdam
+
New York / Amsterdam
 - +

Data engineer

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Multiple - Global
+
Multiple - Global
 - +

SAP S/4HANA architect

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Walldorf / Mumbai
+
Walldorf / Mumbai
diff --git a/site/search-index.json b/site/search-index.json index 2f51617..dce5a63 100644 --- a/site/search-index.json +++ b/site/search-index.json @@ -1 +1 @@ -[{"u":"about.html","t":"About","d":"For 56 years we have helped the world's largest organisations transform. Get to know the people, the purpose, and the philosophy behind Tata Consulting Services, PLC.","b":"About us Fifty-six years of building on belief. What started in 1968 as a small group inside an Indian conglomerate is now one of the largest professional services firms in the world, part of the global TCS group and incorporated in England & Wales as a Public Limited Company. The mission hasn't changed: help organisations build a better future, by doing the hard, durable work of transforming how they actually run. Who we are A partner that's still here in year twenty-five. We aren't a firm that arrives with a deck and leaves with a check. We embed. We train. We run. We hand back. The average tenure of our top 100 client relationships is over 17 years - not because contracts are sticky, but because outcomes are. That's what \"building on belief\" means: a belief that the engine of progress is patient, long-running partnership - the kind that survives strategy resets, leadership turnover, and the next wave of technology. Talk to us By the numbers Global scale, local depth. 615K+ Employees in 55 countries 152 Nationalities represented £23B Annual revenue, FY25 39.5% Women in the workforce Our home market Rooted in the United Kingdom. Tata Consulting Services, PLC is a UK-registered company, and the United Kingdom is home to some of our most advanced engineering. Our London office on Old Bailey is an Engineering Centre of Excellence - the team behind our next-generation Internal Developer Platforms and the cloud, cloud-native, IoT, DevOps, AI, and automation work we take to clients across the country and around the world. From the City of London we serve British enterprises and public bodies, contribute to open source communities and host client teams who want to see modern platform engineering up close. Explore the London office Engineering Centre of Excellence London 17 Old Bailey London EC4M 7EG United Kingdom Explore the London office Divisional Leadership People who've spent careers building, not selling. Full board AK Aaditya Kumar General Manager - TCS Labs PI Priya Iyer P&L Owner - TCS Labs MH Marcus Hale Vice President Banking & Financial Services TY Tanka Yokomoto Divisional Chief Technology Officer SR Sofia Reyes Vice President, Europe Government Services RM Samir Seksaria Managing Director, Home Placement AP Aisha Patel Human Resources, Divisional Head DO Kenji Sato Global Head, AI & Data What we believe Six commitments that show up in every engagement. Long term, not next quarter We measure success in decades. So do our most successful clients.…"},{"u":"accessibility.html","t":"Accessibility","d":"Tata's commitment to accessibility, the standards we target, known limitations, and how to give us feedback.","b":"Legal Accessibility. Tata is committed to making this site usable by the widest possible audience, regardless of ability, technology, or context. Last updated: 27 May 2026. Standards we aim for We target conformance with the Web Content Accessibility Guidelines (WCAG) 2.2 at Level AA. Pages are built with semantic HTML, full keyboard support, visible focus states, sufficient colour contrast, and respect for the user's prefers-reduced-motion setting. Known limitations Some embedded third-party content (charts, videos, maps) may not yet meet our internal standards. Where we are aware of issues we are working on remediations. Assistive technology compatibility We test against current versions of NVDA, JAWS, VoiceOver (macOS, iOS), and TalkBack with the latest stable versions of Chrome, Edge, Firefox, and Safari. Feedback If you encounter an accessibility barrier on this site, please contact accessibility@tata-consulting.co.uk . We aim to respond within five working days."},{"u":"alumni.html","t":"Alumni","d":"Stay connected through the Tata alumni network - 850,000+ members, 140+ local chapters, mentoring, events, and boomerang priority.","b":"Alumni Once Tata. Always Tata. Over 850,000 people have been part of Tata across our history. The network you joined when you walked in is yours for life - whether you're still here or building somewhere new. The network in numbers A community that keeps showing up for itself. 850K+ Alumni globally 140+ Local chapters in 60 countries 2,400+ Boomerang rehires per year 180+ Alumni-led events annually Stay connected Join the alumni network. Verify your alumnus status to unlock the directory, local events, mentoring, and access to internal job postings during boomerang season. If you left within the last five years, your verification is automatic from your last-known work email. Verify and join What you get Membership benefits. Global directory Search 850,000+ members by skill, geography, employer, or graduation cohort. Local chapters Quarterly meetups, monthly socials, and chapter-led mentorship in your city. Mentoring Volunteer to mentor or get matched - both sides report it as the highest-value benefit. Boomerang priority Internal job postings, fast-track interviews, and credited tenure for returning alumni. Continuing education Free access to a subset of our internal learning platform across cloud, AI, and consulting. Newsletter A quarterly digest of what's changing - in Tata and in the industry. Lost touch? Find your way back in. Reach the alumni team"},{"u":"business-operations.html","t":"Business operations","d":"Transform and run business operations across claims, finance, procurement, customer service, and intelligent operations.","b":"Run / Business operations Business operations that scale without adding friction. We redesign and run the processes that customers and employees feel when technology hands off to operations: claims, finance, service, fulfilment, workforce, and the control structures that keep those journeys fast, compliant, and measurable. What this service category is built to do. Operations teams are often asked to absorb the mess left behind by fragmented systems and slow policy change. We start by making the work visible with process mining, service metrics, and frontline evidence, then redesign the operating model around flow instead of queues. The result is not just lower cost-to-serve. Clients get faster outcomes, clearer controls, and a workforce that spends more time on exceptions, empathy, and value-added judgement instead of repetitive manual routing. Talk to a Run partner The operating model links process insight, workflow orchestration, automation, and frontline enablement so improvement sticks after go-live. Outcomes we manage to The run metrics clients hold us to. 91% straight-through processing on mature operations flows 28% faster cash and case cycle times 18 pts average service-experience uplift 35% lower cost-to-serve after redesign Core capabilities The workstreams inside the run model. Capability 01 Finance and back-office operations Order-to-cash, procure-to-pay, record-to-report, and controls transformation tied to measurable cycle-time improvement. Capability 02 Customer and service operations Contact-centre, case, and field-service models designed for channel clarity and better experience outcomes. Capability 03 Industry-specific operations Claims, care operations, fulfilment, and other domain-heavy processes where compliance and empathy both matter. Capability 04 Intelligent operations Process mining, workflow, automation, and quality controls that reduce rework without creating a brittle black box. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Baseline the real work We use process, service, and human evidence to quantify where flow breaks, where rework starts, and which controls matter. Phase 02 Redesign around outcomes Queues, rules, tooling, and team roles are rebuilt around end-to-end completion instead of local utilisation metrics. Phase 03 Manage by signal Operations leaders gain live views of cycle time, exceptions, quality, and experience so improvement becomes an operating habit. Where it…"},{"u":"careers.html","t":"Careers","d":"Build a long-term career at Tata - engineering, design, research, consulting, and operations roles across 55 countries.","b":"Careers Come build something people will still be using in twenty years. We hire engineers, designers, researchers, consultants, and operators across 55 countries. We're not for everyone. We're for people who'd rather ship the boring, durable thing than the flashy short-lived thing. By the numbers Hiring at scale, hiring with care. 615K+ People worldwide 152 Nationalities 39.5% Women in workforce ~80K New hires last fiscal year Why join Six things you'd tell a friend after a year. Build for scale that matters Your code, your designs, your decisions - touching tens of millions of people, often within months of joining. Decades-long mentorship Average tenure of our principal engineers is 18 years. The people teaching you have done the work. Learn-by-doing, paid for $2,400 a year per employee for learning, plus full sponsorship for certifications that map to your career path. Move with the work Internal mobility is the default. Forty-one percent of our consultants change role or geography every three years. Flexible by default Hybrid where it works, remote where it makes sense, on-site where the client needs us. We hire for outcomes. Health for the long game Comprehensive health, family, mental-health, and retirement benefits - in every country we operate. Open roles Hiring across 14 disciplines. Browse all roles Software engineer - Cloud platforms Multiple - Global AI/ML engineer Bengaluru / Pune / Toronto Cybersecurity consultant London / Frankfurt / Singapore Product designer New York / Amsterdam Data engineer Multiple - Global SAP S/4HANA architect Walldorf / Mumbai Don't see your role? Send us your CV anyway. Send a note"},{"u":"case-airline-loyalty-unification.html","t":"Airline loyalty unification","d":"How Tata unified a loyalty platform across nine airline sub-brands and unlocked incremental revenue.","b":"Case study Loyalty platform unified across 9 sub-brands. The airline group had accumulated brands, alliances, and loyalty rules faster than it could rationalise them. We designed a shared loyalty spine with local brand flexibility so members finally experienced one programme even when the back-end economics stayed market-specific. 9 sub-brands unified +24% repeat booking uplift $310M incremental year-one revenue 1 single member profile per traveller The situation we walked into. Members could earn and redeem across the group, but profile data, pricing rules, and campaign tooling were still fragmented by brand. Marketing teams could not act on traveller behaviour fast enough, and customer service teams had no trustworthy single view of a member. The airline needed group-level loyalty economics with market-level flexibility. That required more than a database consolidation; it required a new operating model for campaigns, pricing, and member support. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Identity and profile merge Traveller data was matched into a single member spine with transparent survivorship rules and support workflows. Stream 02 Earning and redemption logic Shared loyalty services handled points, tiers, partner rules, and offer orchestration across all brands. Stream 03 Campaign operations Marketing teams shifted from quarterly batch planning to near-real-time traveller segmentation and experiment design. Stream 04 Service integration Contact-centre and airport teams accessed one member view with brand-specific context layered on top. Execution rhythm How the delivery moved from pilot to scaled operation. Stage 1 Programme blueprint The group agreed on shared member concepts, local exceptions, and a phased migration path. Stage 2 Profile unification Identity, consent, and historic activity moved into a common member model with rigorous data-quality checks. Stage 3 Commercial activation Offer, campaign, and redemption services went live brand by brand without disrupting live bookings. Stage 4 Group optimisation The airline began running loyalty experiments and lifecycle plays at the group level with market-specific controls. Twelve months later What changed after the transformation settled into the run. Outcome 01 Members experienced the group as one programme Travellers could…"},{"u":"case-banking-cloud-native.html","t":"Retail bank cloud-native modernisation","d":"How Tata modernised a 220M-account retail bank to a cloud-native operating model in 18 months without customer-facing incidents.","b":"Case study Modernising a 220M-account retail bank to cloud-native in 18 months. A European retail bank had already spent three years trying to replace its core in waves. We reset the program around domain-by-domain modernisation, an event backbone, and a managed cutover factory that could survive real regulatory scrutiny. 220M customer accounts migrated 18 months from reset to final country cutover 70% faster launch cycle for new products 0 customer-facing incidents during cutover The situation we walked into. The client carried 420 downstream applications on top of a 30-year-old core, with country-specific product logic hard-coded into nightly batches. Every prior migration attempt had stalled when finance, fraud, and servicing teams discovered a dependency too late. We reframed the objective away from 'replace the core' and toward 'make product launches and resiliency materially better'. That let the bank sequence work by customer journeys, keep regulators informed with live evidence, and prove value before the final country cutover. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Core decomposition Deposits, cards, lending, and servicing were carved into independently releasable domains with shared policy services. Stream 02 Event fabric Kafka-backed canonical events replaced overnight file movement so risk, finance, and channels could subscribe in real time. Stream 03 Cutover factory Every rehearsal executed against the same runbooks, controls, rollback triggers, and executive command-centre dashboards. Stream 04 Run transition Managed services and SRE teams stood up 24x7 reliability coverage before the first production migration. Execution rhythm How the delivery moved from pilot to scaled operation. Months 0-3 Program reset A single control tower, release calendar, and regulator-ready evidence pack replaced 17 local workstreams. Months 4-8 Foundations live Deposits and onboarding domains launched behind APIs while the legacy core still handled settlement. Months 9-14 Dual-run scale-up Cards, servicing, and customer messaging ran in parallel for six countries with automated reconciliation. Months 15-18 Country cutovers Weekend migrations completed with rehearsed rollback points, war-room telemetry, and board-level dashboards. Twelve months later What changed after the transformation…"},{"u":"case-connected-factory-oem.html","t":"Connected factory transformation","d":"How Tata connected 40 plants for a global OEM with real-time supply, quality, and production intelligence.","b":"Case study Connected factory across 40 plants on 18 countries' production lines. The OEM had a world-class engineering culture but no single operational picture of its plants. We connected machines, quality stations, suppliers, and planning systems so plant managers could act on the same signal within minutes, not days. 40 plants connected to one manufacturing fabric 18 countries rolled into the same operating model 23% reduction in unplanned downtime $180M annualised inventory release The situation we walked into. Each plant had optimised locally around its own MES, supplier cadence, and maintenance routines. That produced heroic local performance but made global planning brittle whenever a component shortage, quality excursion, or equipment issue hit multiple regions at once. The client wanted more than dashboards. It needed plant supervisors, planners, and suppliers to work off the same operational model so schedule changes could happen mid-shift without creating hidden backlogs downstream. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Industrial data layer Machine telemetry, SPC systems, and maintenance signals were normalised into a shared manufacturing event model. Stream 02 Supplier visibility Tier-1 and critical Tier-2 suppliers published shipment and quality checkpoints into the same control plane. Stream 03 Digital twin rooms Plant teams used scenario boards to simulate changeovers, component shortages, and labour constraints before acting. Stream 04 Edge operations Low-latency analytics and local failover kept plants running even when wider network links degraded. Execution rhythm How the delivery moved from pilot to scaled operation. Quarter 1 Three-plant pilot We proved uptime and quality use cases in one drivetrain, one body, and one final-assembly plant. Quarter 2 Global template The OEM approved a reusable plant blueprint spanning data contracts, dashboards, and local operating roles. Quarter 3 Supplier integration Critical supply-chain checkpoints were added so planners could see constrained components before shortages hit lines. Quarter 4 Scale and optimise All 40 plants moved to common signal thresholds and the network operations team took over global support. Twelve months later What changed after the transformation settled into the run. Outcome 01 Maintenance became…"},{"u":"case-energy-grid-edge-intelligence.html","t":"Grid-edge intelligence case study","d":"How Tata helped a European utility build grid-edge intelligence across nine countries and reduce customer outage minutes.","b":"Case study Grid-edge intelligence across 9 countries. The utility had modernised generation forecasting, but its distribution operations still relied on fragmented alarm consoles and regional workflows. We built a grid-edge intelligence layer that joined asset, weather, field, and customer signals fast enough to change operational decisions in flight. 9 countries on one edge-operations model average outage detection time 38% faster renewables integration 41% fewer customer outage minutes The situation we walked into. Grid telemetry, field operations, weather services, and customer communications all existed, but they were consumed by different teams on different tools. That made it difficult to isolate faults quickly or rebalance crews during severe weather and renewables volatility. The utility wanted a system that operators would actually trust in the middle of an event. That meant strong correlation logic, clear confidence signals, and field workflows that stayed usable under pressure. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Edge telemetry model Substation, feeder, meter, and weather signals were normalised into a shared event backbone. Stream 02 Correlation engine Signal fusion narrowed likely fault locations and surfaced recommended dispatch paths with visible confidence scores. Stream 03 Field integration Dispatch, crew availability, and restoration progress were connected to the same operations workspace. Stream 04 Resilience drills Regional teams rehearsed storm scenarios using the new tooling before it became the default operating model. Execution rhythm How the delivery moved from pilot to scaled operation. Wave 1 Regional pilot Two control rooms and one severe-weather corridor adopted the event model and dispatch workspace. Wave 2 Signal expansion DER, smart-meter, and weather feeds increased correlation quality and narrowed false positives. Wave 3 Field rollout Crew, contractor, and customer-notification flows moved into the same operational cadence. Wave 4 Cross-border scale Nine-country operations teams adopted shared thresholds and joint storm playbooks. Twelve months later What changed after the transformation settled into the run. Outcome 01 Operators acted on stronger evidence Fewer alarms required manual correlation and dispatchers saw restoration options before…"},{"u":"case-healthcare-member-experience.html","t":"Healthcare member experience platform","d":"How Tata consolidated 36 healthcare portals into one digital front door serving 22M lives.","b":"Case study Member experience platform serving 22M lives. The payer's digital estate had grown through product launches, acquisitions, and vendor changes. We consolidated member access, care navigation, and plan servicing into a single front door that still respected market, employer, and regulatory differences behind the scenes. 22M lives served through the new platform 36 legacy portals retired 4.7 app store rating after relaunch 200K calls diverted per month The situation we walked into. Members were logging into different portals for claims, benefits, pharmacy, care navigation, and provider messaging. Call-centre agents had become the human glue between systems that should already have been connected. The payer wanted a unified experience without forcing a massive backend rewrite upfront. That meant front-end coherence, API mediation, and a carefully sequenced retirement plan for legacy surfaces. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Experience blueprint We mapped high-friction journeys across commercial, Medicare, and employer-sponsored plans to define one front-door pattern. Stream 02 Identity and access A new identity layer gave members, providers, and caregivers context-aware access without duplicate credentials. Stream 03 Journey orchestration Claims, benefits, pharmacy, and care programs were stitched together behind APIs and notification services. Stream 04 Service deflection Agent tools and member self-service were designed together so contact-centre scripts matched digital flows. Execution rhythm How the delivery moved from pilot to scaled operation. Sprint 1-4 Journey prioritisation We targeted the member tasks generating the highest avoidable call volume and the most fragmented entry points. Sprint 5-10 Platform foundation Identity, navigation, and content services shipped first so old and new journeys could coexist safely. Sprint 11-18 Journey migration Benefits, claims status, pharmacy, and care messaging moved into the new front door in waves. Sprint 19-24 Legacy retirement Portals and support scripts were decommissioned in lockstep with adoption metrics and agent feedback. Twelve months later What changed after the transformation settled into the run. Outcome 01 Members found answers faster High-volume service requests became trackable self-service flows with…"},{"u":"case-insurance-claims-automation.html","t":"Insurance claims automation","d":"How Tata automated property and casualty claims for a top-10 carrier with straight-through processing and faster outcomes.","b":"Case study Claims automated end-to-end for property & casualty. The carrier had strong digital intake but manual decisioning across triage, fraud review, and settlement. We rebuilt claims operations around process mining, orchestration, and human-in-the-loop controls so straight-through processing could scale without increasing leakage. 38 hours average resolution time after transformation 91% straight-through processing +18 NPS improvement in 12 months 14 days former average claim cycle time The situation we walked into. Digital claim submission was already live, but the real work still happened in swivel-chair handoffs between adjusters, document teams, and payment operations. As claim volumes rose, cycle times stretched and customer sentiment deteriorated. The client wanted automation without creating a black box. Any new model had to be auditable, easy to override, and explicitly tuned for complex weather, liability, and fraud scenarios. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Process mining We traced every manual touch, exception route, and rework pattern across home, auto, and commercial lines. Stream 02 Decision orchestration Rules, models, and document services were wrapped in a single claims workflow with visible checkpoints. Stream 03 Human-in-the-loop controls Adjusters could intervene on confidence thresholds, special handling flags, and suspicious claim combinations. Stream 04 Operations transition The operations team moved to exception management, model tuning, and proactive outreach instead of queue clearing. Execution rhythm How the delivery moved from pilot to scaled operation. Weeks 1-6 Claims baseline The carrier gained a fact base on the real sources of delay, leakage, and avoidable rework. Weeks 7-12 Automation spine live Low-complexity claims began routing through rules and document services with human checkpoints. Weeks 13-20 Fraud and exception tuning Confidence thresholds and specialist routing were calibrated using live claim outcomes. Weeks 21-32 National rollout The new workflow expanded across lines of business with service-level dashboards and QA feedback loops. Twelve months later What changed after the transformation settled into the run. Outcome 01 Customers stopped chasing status Most policyholders received a decision path and expected settlement…"},{"u":"case-public-sector-digital-identity.html","t":"Citizen identity transformation","d":"How Tata built a digital identity and service front door for 65M citizens while retiring 40 legacy systems.","b":"Case study Citizen identity and a single front door for 65M people. The agency needed a single digital front door, but public trust depended on making identity feel safe, accessible, and explainable. We designed the service around verified identity, assisted channels, and a migration plan that retired old systems only when adoption proved stable. 65M citizens in scope 24M monthly active users 40 legacy systems retired 82% lower cost per transaction The situation we walked into. Citizens were being redirected across departmental portals, each with separate credentials, inconsistent identity proofing, and uneven accessibility. At the same time, the agency had to preserve assisted channels for people who could not or would not use digital self-service. The programme carried unusual scrutiny from parliament, watchdogs, and civil society groups. Technical reliability mattered, but clear governance and service transparency mattered just as much. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Identity foundation Proofing, authentication, and delegated access flows were designed for both digital-first and assisted use cases. Stream 02 Agency onboarding Departments integrated through shared APIs, consent controls, and reusable service patterns instead of bespoke portals. Stream 03 Accessibility at scale Design, content, and engineering teams tested with assistive technologies and real user cohorts from the start. Stream 04 Operations and trust A live control room tracked performance, fraud signals, accessibility issues, and assisted-channel demand in one place. Execution rhythm How the delivery moved from pilot to scaled operation. Phase 1 Identity beta The agency launched identity proofing and basic account services with strong monitoring and assisted fallback. Phase 2 Priority services High-volume transactions moved first so the team could learn from real demand and support patterns. Phase 3 Department migration Legacy portals were retired in waves once adoption, accessibility, and support metrics cleared agreed thresholds. Phase 4 National scale The platform expanded into a common front door for multiple agencies with centralised service operations. Twelve months later What changed after the transformation settled into the run. Outcome 01 Citizens saw one coherent service The experience shifted…"},{"u":"case-retail-continuous-delivery.html","t":"Retail continuous delivery transformation","d":"How Tata moved a heritage retailer from quarterly releases to continuous delivery across 1,800 stores and digital channels.","b":"Case study From quarterly waterfalls to a release every three minutes - 1,800 stores. The retailer's digital and store technology teams were moving at completely different speeds. We rebuilt the release model around product squads, feature flags, and shared telemetry so store operations could trust rapid change instead of fearing it. 1,800 stores brought into the same release model 8x deployment frequency increase 95% drop in change-failure rate 3 min average release interval at peak The situation we walked into. The retailer had modern commerce ambitions, but store systems still depended on slow weekend release windows and manual certification. That meant even simple checkout or loyalty changes dragged through governance queues for weeks. The underlying issue was organisational. Product, store operations, payments, and merchandising all had different release calendars and different tolerance for risk. We had to make rapid delivery feel safer than slow delivery. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Platform engineering A shared delivery platform standardised build pipelines, secrets, progressive delivery, and rollback automation. Stream 02 Store-safe releases Feature flags, dark launches, and cohort routing let the client test store changes without nationwide exposure. Stream 03 Experience telemetry Digital and in-store journeys were monitored on the same service map so defects could be isolated quickly. Stream 04 Operating model reset Quarterly program boards were replaced with weekly product reviews and release readiness scorecards. Execution rhythm How the delivery moved from pilot to scaled operation. Month 1 Value-stream mapping We identified release bottlenecks across POS, e-commerce, payments, and fulfilment. Month 2-4 Golden paths The first product teams moved to standard pipelines, automated testing, and on-call accountability. Month 5-8 Store rollout Pilot stores adopted progressive releases with playbooks for trade days, peaks, and local rollback. Month 9-12 Enterprise cadence Merchandising and operations leaders shifted planning into a continuous prioritisation rhythm. Twelve months later What changed after the transformation settled into the run. Outcome 01 Trading became more responsive Product teams now launch promotions, fulfilment tweaks, and checkout changes…"},{"u":"case-studies.html","t":"Case studies","d":"Outcomes our clients are most proud of - across banking, manufacturing, retail, insurance, healthcare, public sector, energy, communications, and travel.","b":"Case studies Outcomes our clients are most proud of. Anonymized where it matters, named where the client wants to be named. Each story now links through to a full delivery story with the operating context, the workstreams, and the measurable results one year later. Banking - Europe Modernising a 220M-account retail bank to cloud-native in 18 months. 70% faster time-to-market on new products; 60% reduction in run cost; zero customer-facing incidents during cutover. Read the case Manufacturing - Global OEM Connected factory across 40 plants on 18 countries' production lines. Real-time supplier and quality data; 23% drop in unplanned downtime; $180M annualized inventory release. Read the case Retail - 150-year-old chain From quarterly waterfalls to a release every three minutes - 1,800 stores. Continuous delivery across e-commerce + physical; 8x deployment frequency; 95% reduction in change-failure rate. Read the case Insurance - Top-10 carrier Claims automated end-to-end for property & casualty. Average resolution time 14 days → 38 hours; 91% straight-through processing; +18 NPS in 12 months. Read the case Healthcare - National payer Member experience platform serving 22M lives. Consolidated 36 legacy portals into one digital front door; 4.7-star app store rating; 200K calls/month diverted. Read the case Public sector - National Citizen identity and a single front door for 65M people. 40 legacy systems retired behind it; 24M monthly active users; cost-per-transaction down 82%. Read the case Energy - European utility Grid-edge intelligence across 9 countries. Outage detection sub-90s on average; renewables integration 38% faster; customer-facing outage minutes down 41%. Read the case Comms - Tier-1 telco 5G core launch and BSS modernisation in parallel. First 5G slice live in 9 months; OSS migration with zero net-new tickets to support; 2x faster new-product launches. Read the case Travel - Global airline Loyalty platform unified across 9 sub-brands. Single member view across the group; +24% repeat booking; +$310M incremental revenue in year one. Read the case Want to read a case from your industry? Request the deeper dive"},{"u":"case-telco-5g-bss-modernisation.html","t":"5G core and BSS modernisation","d":"How Tata launched 5G core services and modernised BSS in parallel for a tier-1 telecommunications operator.","b":"Case study 5G core launch and BSS modernisation in parallel. The operator could not afford to sequence network and commercial transformation one after the other. We ran 5G core rollout, product catalogue redesign, and BSS simplification in parallel so the business could monetise new network capability as soon as it went live. 9 months to first live 5G slice 2x faster new-product launches 0 net-new support tickets after OSS migration 14 legacy product stacks retired The situation we walked into. The telco's network teams were ready to launch 5G services, but product, billing, and service assurance stacks were too fragmented to support rapid commercialisation. Launching network capability without BSS reform would have created a shiny technical win with slow revenue impact. The programme had to preserve service continuity for existing customers while simplifying product logic, migrating assurance tooling, and training support operations on new service behaviours. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 5G core rollout Cloud-native network functions, observability, and resilience patterns were implemented with slice readiness from day one. Stream 02 Product catalogue reset The commercial catalogue was reduced and rebuilt around reusable product components instead of custom bundle logic. Stream 03 OSS/BSS migration Assurance, fulfilment, and billing workflows were reconnected to the new service model without duplicating support queues. Stream 04 Support readiness Operations teams rehearsed new-service incidents and commercial edge cases before public launch. Execution rhythm How the delivery moved from pilot to scaled operation. Month 1-3 Parallel foundations Network, product, and support leaders aligned around one release path instead of separate programs. Month 4-6 Catalogue and core build Reusable product components and slice-ready network services progressed against shared milestones. Month 7-8 Dress rehearsals Revenue, support, and assurance teams validated service activation, billing, and incident handling in live-like conditions. Month 9 Commercial launch The first slice and associated product offers launched together, shortening the path from capability to revenue. Twelve months later What changed after the transformation settled into the run. Outcome 01 New network services…"},{"u":"coe/idp.html","t":"Internal Developer Platform","d":"The Tata Internal Developer Platform is built and operated by the London Engineering Centre of Excellence on an open, cloud-native, AI-enabled stack. Service provider-grade architecture, strict multi-tenancy, policy-as-code RBAC, and a developer experience worth opening every morning - for hundreds of thousands of Tata engineers and client teams.","b":"The Tata Internal Developer Platform One platform for hundreds of thousands of engineers. Open, cloud-native, AI-enabled. The Tata Internal Developer Platform is the London Engineering Centre of Excellence's flagship product: a service provider-grade IDP that maps the deep, multi-tiered structure of a global enterprise onto a single, opinionated paved road - and ships it both inside Tata and to the clients we serve. It is built on open, AI-enabled, cloud-native foundations and on the wider cloud native ecosystem, drawing on cloud, DevOps, IoT, and automation patterns proven at scale. Open the platform See the architecture 550K+ Tata engineers eligible to onboard 200+ Active client tenants supported Cloud native Open source core 25 Internal tenant organizations Why we built it A platform that takes Tata's scale as a starting point, not an afterthought. Most IDPs are built for a single product team and stretched, painfully, to cover the rest of the business. Ours starts at the other end: an organisation with hundreds of thousands of engineers, deep multi-tiered hierarchies, and a client portfolio that pays close attention to audit, residency, and isolation. That changes every architectural decision underneath - and it changes who the platform is allowed to feel sluggish to (no one). Service provider-grade architecture Three properties we refuse to compromise on. Complex organisational hierarchies Group, business unit, account, sub-account, project, team, environment - the platform's logical boundaries mirror the real shape of the business. Move a team between business units and its golden paths, quotas, and policies follow it. Strict multi-tenancy Compute, network, and data isolation between business units and client projects is the default, not a configuration option. Workload identity, namespace boundaries, network policy, and storage all derive from the same tenant model. Policy-as-code RBAC Fine-grained role and attribute-based access control, expressed as code and version-controlled with the rest of the platform. Every action that needs an auditor's signature comes with an audit trail an auditor will actually read. How it fits together An open, cloud-native stack, top to bottom. An AI-enabled collaboration suite sits at the top of the platform with an infrastructure-as-design surface that enables architects, platform engineers, security teams, and developers to model, govern, deploy, and continuously reconcile cloud and cloud-native components across a…"},{"u":"coe/london.html","t":"London - Engineering Centre of Excellence","d":"The Tata Consulting Services, PLC London office is an engineering centre of excellence specialising in cloud, cloud-native, IoT, DevOps, AI, and automation - including next-generation Internal Developer Platforms, container orchestration (Kubernetes, OpenShift), and Developer Experience (DevEx).","b":"London, United Kingdom An engineering centre of excellence on the banks of the Thames. Our London studio specialises in building next-generation Internal Developer Platforms. We combine a rigorous approach to system architecture with a deep passion for Developer Experience - bridging the gap between complex cloud, cloud-native, IoT, DevOps, AI, and automation estates (container orchestration with Kubernetes, serverless, and the wider cloud stack) and seamless developer workflows. See what we build Join the studio 40+ consulting services engineers based in UK 14 FTSE 100 clients on UK platforms 400+ Microservices managed across UK estates 99.97% Platform availability across 2025 What we build in London Internal Developer Platforms that engineers actually want to use. An IDP is only worth building if it makes the day-to-day measurably better. Ours start with the developer's terminal, not the cloud provider's console - and earn their place by removing toil, not adding ceremony. The studio's flagship is the Tata Internal Developer Platform used both inside Tata and by clients of our strategic engagements. About the IDP Open the platform 01 Developer Experience surface CLI - portal - IDE plugins - PR-driven workflows - golden paths 02 Platform services Service catalogue - templates - CI/CD - secrets - observability - policy 03 Cloud-native runtime fabric Container orchestration (Kubernetes) - serverless (Knative, Lambda, Functions) - service mesh (Istio, Linkerd) - multi-tenant isolation - autoscaling 04 Hybrid & multi-cloud infrastructure AWS - Azure - GCP - on-prem - sovereign UK regions How we work Four pillars behind every platform we ship. Developer Experience first Every feature we add is judged on the developer's minute-by-minute experience. If a golden path is slower than the workaround, we have failed. Rigorous architecture We treat platforms as long-lived products. Architecture decisions are recorded, contested, and reviewed - never inherited by accident. Production from day one Nothing leaves the studio without an SLO, a runbook, and an on-call rota. Demos are nice; pagers at 03:00 are the real test. Open by default We build on - and contribute back to - the cloud, cloud-native, DevOps, AI, and automation ecosystems your engineers already trust: Kubernetes, OpenTelemetry, Backstage, Meshery, Argo, and the wider technology landscape. Inside the studio A working office, not a showroom. Our floor in the City sits between client teams, the open-source…"},{"u":"contact.html","t":"Contact","d":"Start a conversation with Tata Consulting Services, PLC. Find an office near you, or send us a note and we will respond within two business days.","b":"Contact Let's get to work. Tell us where you're stuck, where you're going, or just who we should know. The right person will respond within two business days - no funnels, no demo bots. Send us a note A few details to help us route it to the right team. All fields are required. Please use your work email - personal accounts (Gmail, Yahoo, Outlook, etc.) are not accepted. First name * Last name * Work email * Company * I'd like to talk about * Choose a topic… Cloud transformation AI & data Cybersecurity Strategy & consulting An industry-specific challenge Partnership opportunities Careers Media or analyst inquiry Tell us more * Send note Or skip the form Talk to a human, directly. If you already know which team you need, here is how to reach them. General inquiries uk@tata-consulting.co.uk Media & analysts press@tata-consulting.co.uk Investor relations ir@tata-consulting.co.uk Careers careers@tata-consulting.co.uk Offices A presence in 55 countries through the global TCS group . Here are the largest. Mumbai - Global HQ Tata House N. M. Marg, Apollo Bunder Mumbai 400001, India +91 22 6666 7777 New York 101 Park Avenue, 26th Floor New York, NY 10178 United States +1 212 555 0100 London - Engineering CoE 17 Old Bailey London EC4M 7EG United Kingdom +44 20 7220 0800 About the studio Singapore Marina Bay Financial Centre, Tower 3 12 Marina Boulevard Singapore 018982 +65 6222 0222 São Paulo Avenida Paulista, 1842 Bela Vista, São Paulo - SP Brazil 01310-200 +55 11 3000 0400 Tokyo Marunouchi Building, 21F 2-4-1 Marunouchi, Chiyoda-ku Tokyo 100-6321, Japan +81 3 5222 0900"},{"u":"cookies.html","t":"Cookies","d":"Information about the cookies this website uses and how to manage your preferences.","b":"Legal Cookies. We use a small set of cookies to make this site work and to understand how it is used. You can choose which categories to enable below. Last updated: 27 May 2026. What cookies are Cookies are small text files placed on your device by websites you visit. They are widely used to make sites work or work more efficiently, and to provide information to site owners. Categories we use Strictly necessary. Required for the site to function. These cannot be turned off in our system. Analytics. Help us understand how visitors interact with the site by collecting and reporting information anonymously. Functional. Remember choices you make (such as your country or language). Marketing. Used to deliver more relevant marketing on third-party sites. Off by default. Managing cookies Most browsers let you refuse or delete cookies. Doing so may prevent some features of this site from working as intended. You can update your preferences at any time via the cookie banner. Contact Questions about cookies? Email privacy@tata-consulting.co.uk ."},{"u":"enterprise-applications.html","t":"Enterprise applications","d":"Run and modernise enterprise applications across SAP, Oracle, Salesforce, ServiceNow, Workday, commerce, and custom workflow platforms.","b":"Run / Enterprise applications Enterprise applications that release like products, not projects. We run and modernise the platforms that move finance, supply chain, loyalty, claims, employee services, and customer journeys. Our focus is not just system uptime; it is clean releases, usable workflows, and a support model that improves the application estate rather than freezing it. What this service category is built to do. Most large enterprises now depend on a blend of packaged platforms and custom workflows. The failure mode is familiar: every application team optimises locally while change risk, backlog, and support debt accumulate globally. We organise around products and business journeys, joining application operations with release engineering, observability, and service experience so every platform can evolve without destabilising the business around it. Talk to a Run partner The run model blends application support, release automation, product ownership, and integration observability around the journeys the business actually cares about. Outcomes we manage to The run metrics clients hold us to. 14K+ SAP, Oracle, Salesforce, ServiceNow, and Workday specialists 31% faster release cadence after operating-model reset 96% change success rate on governed enterprise releases 22% reduction in support backlog age Core capabilities The workstreams inside the run model. Capability 01 ERP and finance operations Core finance, procurement, planning, and supply-chain platforms supported with release discipline and business continuity controls. Capability 02 Customer and commerce platforms CRM, service, loyalty, and commerce journeys run with integrated telemetry and product-aligned support squads. Capability 03 Employee and workflow systems HR, case management, and operational workflow platforms that need both reliability and fast policy change. Capability 04 Integration and release engineering API, middleware, data, and test automation capabilities that keep the estate coherent as platforms evolve. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Product-aligned squads Support, engineering, and business owners share one backlog and one release view for each major journey. Phase 02 Continuous verification Regression packs, synthetic tests, and rollout guardrails catch business-impacting change before users do. Phase 03 Value and license discipline Application run is tied to adoption, backlog health, and platform economics…"},{"u":"find-office.html","t":"Find an office","d":"Tata office locations across India, the Americas, Europe, Asia-Pacific, and the Middle East.","b":"Find an office A presence in 55 countries. Twelve of our largest hubs are listed below. Whether you want to drop by, ship a contract, or hire a team near you - this is where to start. Mumbai - Global HQ Tata House N. M. Marg, Apollo Bunder Mumbai 400001, India +91 22 6665 8282 Bengaluru Tata Park, Whitefield Main Road Whitefield, Bengaluru 560066 India +91 80 672 57000. Delhi NCR Tata Tower, DLF Cyber City Phase III Gurugram 122002 India +91 124 444 5555 New York 101 Park Avenue, 26th Floor New York, NY 10178 United States +1 212 555 0100 Toronto 199 Bay Street, 30th Floor Toronto, ON M5L 1G9 Canada +1 416 555 0150 Engineering Centre of Excellence London 17 Old Bailey London EC4M 7EG United Kingdom +44 20 7220 0800 Explore the London office Frankfurt Trianon, Mainzer Landstraße 16 60325 Frankfurt am Main Germany +49 69 2222 0700 Amsterdam Vinoly Building, Claude Debussylaan 80 1082 MD Amsterdam Netherlands +31 20 521 0500 Singapore Marina Bay Financial Centre, Tower 3 12 Marina Boulevard Singapore 018982 +65 6654 1550 Tokyo Marunouchi Building, 21F 2-4-1 Marunouchi, Chiyoda-ku Tokyo 100-6321, Japan +81 3 5222 0900 Sydney Tower One, International Towers 100 Barangaroo Avenue, Sydney NSW 2000 Australia +61 2 8224 0900 São Paulo Avenida Paulista, 1842 Bela Vista, São Paulo - SP Brazil 01310-200 +55 11 3000 0400 Not located in a region we list? Talk to us"},{"u":"index.html","t":"Tata Consulting Services, PLC - Building on belief","d":"Tata Consulting Services, PLC partners with the world's largest enterprises to design and run their digital transformation - across cloud, AI, cybersecurity, and operations.","b":"Featured story - Banking Reimagining the bank of tomorrow, today. We helped one of Europe's largest retail banks modernise 220 million customer accounts onto a cloud-native core in 18 months - cutting time-to-market for new products by 70%. Read the story Explore services Trusted by the FTSE 100 and the Fortune 500 Recognised by Leader Gartner Cloud Services Leader Forrester Wave: AI Services Top 10 Fortune World's Most Admired A CDP Climate Disclosure Best Top Employer Institute, EMEA Featured stories Outcomes our clients are most proud of. All stories Manufacturing A global automaker rebuilt its supplier network on real-time data. Forty plants, eighteen countries, one operating picture - and a 23% drop in unplanned downtime. Read story Public sector Modernising the citizen experience for a national health service. A single digital front door for 65 million people - with 40 legacy systems retired behind it. Read story Retail A 150-year-old retailer learned to ship a release every three minutes. From quarterly waterfalls to continuous delivery across 1,800 stores - without skipping a single weekend. Read story What we do End-to-end services for the enterprise of the future. Explore all services Cloud transformation 01 AI & data 02 Cybersecurity 03 Engineering & R&D 04 Strategy & consulting 05 Enterprise applications 06 Business operations 07 Sustainability 08 London - Engineering Centre of Excellence Where we build Internal Developer Platforms. Our London studio specialises in next-generation IDPs. We pair rigorous system architecture with a deep passion for Developer Experience - bridging complex cloud, cloud-native, IoT, DevOps, AI, and automation estates (Kubernetes, serverless, and the wider cloud native stack) with the workflows engineers actually want to use every day. Members of the team are spend time contributing to the open source projects that comprise the Tata Internal Developer Platform - used by Tata engineers internally and packaged for clients of strategic engagements. About the IDP Explore the London studio \" We don't deliver projects - we partner for decades. Five out of every ten clients have worked with us for more than 25 years. Priya Iyer - Chief Operating Officer 615K+ Consultants in 55 countries £23B Annual revenue, FY25 1,200+ Active enterprise clients 56 Years building on belief Industries Deep expertise, where it matters most. All industries Banking & financial services Modernising the core. Re-imagining the front line.…"},{"u":"industries.html","t":"Industries","d":"Tata brings deep industry knowledge to banking, insurance, manufacturing, retail, healthcare, public services, communications, and energy.","b":"Industries The deepest industry benches in the business. Every industry runs on its own rules - regulatory, operational, cultural. We bring teams that have lived inside the industry, not just studied it. Below: where we go deepest. Sector lead - Marcus Hale Banking & financial services Core modernisation, payments, capital markets, and digital onboarding for 9 of the world's 10 largest banks. Talk to banking Sector lead - Helena Bauer Insurance Policy administration, claims automation, AI-driven underwriting, and customer experience for top-25 carriers globally. Talk to insurance Sector lead - Kenji Sato Manufacturing Smart factory, connected products, PLM, and supply chain resilience for automotive, aerospace, and industrial OEMs. Talk to manufacturing Sector lead - Lara Schmidt Retail & consumer products Unified commerce, AI-driven merchandising, supply chain visibility, and direct-to-consumer platforms. Talk to retail Sector lead - Dr. Naila Rahman Healthcare & life sciences Care delivery platforms, real-world evidence, drug discovery, and connected clinical trials - across providers, payers, and pharma. Talk to healthcare Sector lead - James Whitfield Public services Digital identity, tax modernisation, citizen platforms, and defence systems for federal, state, and supra-national agencies. Talk to public sector Sector lead - Ravi Subramanian Communications & media 5G core, BSS/OSS modernisation, OTT platforms, and content delivery - for the world's largest telcos and broadcasters. Talk to comms Sector lead - Elena Cortes Energy & utilities Renewables integration, grid edge intelligence, customer platforms, and asset performance management for utilities and oil & gas majors. Talk to energy Sector lead - Sara Olafsson Travel, transportation & hospitality Loyalty, distribution, operations, and customer experience for airlines, hospitality groups, and logistics providers. Talk to travel \" You cannot consult your way into knowing an industry. You have to live there. We have - for half a century. Anand Krishnan - Chief Executive Officer 9 of 10 Of the world's largest banks are clients 14 Industry vertical practices $2T+ Of insurance premiums processed annually on our platforms 40+ National government clients Tell us about your industry. We've probably been there. Start a conversation"},{"u":"insights.html","t":"Insights","d":"Research, perspectives, and points of view from Tata practitioners across AI, cloud, cybersecurity, industry, and the future of work.","b":"Insights Research and perspectives from the front line. Our researchers and practitioners publish what they're learning from the engagements we actually run. No hot takes; just patterns that hold up after the second client. Featured Reports, briefings, and points of view. Subscribe to our newsletter Annual study - 1,200 CEOs The AI Premium: where leaders are seeing returns, and where they aren't. Our 12th annual CEO study tracks how AI value is concentrating - and what separates the 14% pulling away. Read Perspective Beyond the pilot: what it actually takes to put GenAI into production. A field guide drawn from 340 enterprise GenAI deployments - what worked, what stalled, what we learned. Read Point of view The next operating model: small teams, large autonomy, AI in the loop. A framework for re-organising IT and operations around outcomes - not towers, not tickets, not handoffs. Read Research note The cloud bill came due. Now what? Why 62% of enterprises are returning to disciplined unit-economics conversations - and the playbook that's working. Read Industry brief - Banking Core modernisation in 24 months: a comparison of four playbooks. Strangler, big-bang, sidecar, greenfield - the trade-offs that determine which approach actually finishes. Read Industry brief - Retail Unified commerce: the data plumbing nobody warned you about. Why retail platforms break in the integration layer first - and the patterns that hold up under Black Friday. Read Workforce study What 8,400 frontline workers told us about AI augmentation. The largest survey of its kind reveals a surprising consensus on where AI helps - and where it gets in the way. Read ESG & sustainability Scope 3 reporting: the data engineering challenge nobody is talking about. Most carbon disclosure tools assume data you don't have. Here's how four clients built the pipeline that actually works. Read Cybersecurity Zero trust is a posture, not a product. Five enterprises explain why. Architecture, identity, segmentation, telemetry, and culture - the five layers that actually have to move together. Read \" We won't publish a finding until we've seen it work - or fail - at three clients. That's a slow rhythm. It's also why people keep reading us. David Okonkwo - Global Head, AI & Data Have a question we should be researching? Suggest a topic"},{"u":"investors.html","t":"Investors","d":"Financial performance, reports, filings, and investor relations for Tata Consulting Services, PLC.","b":"Investors A durable business, built to compound. Long-running client relationships, a global delivery model that's hard to replicate, and a balance sheet that funds growth from operating cash flow - not financing. Latest results - FY25 Headlines from our most recent fiscal year. $29.1B FY25 revenue +8.4% YoY in constant currency 24.6% Operating margin Sustained Tier-1 IT services band $42.7B Net new TCV signed Across 1,200+ active enterprise relationships 112% Cash conversion Free cash flow / net income, trailing twelve months Reports & filings For your due diligence shelf. Request investor pack Annual report 2025 PDF - 14.2 MB Q4 FY25 earnings transcript PDF - 1.1 MB Sustainability report 2025 PDF - 8.6 MB Proxy statement 2025 PDF - 2.3 MB Corporate governance Code of conduct & bylaws Historical financials 10-year ledger Talk to IR Direct line to the team. For analyst inquiries, shareholder questions, or scheduled briefings, reach our investor relations team directly. ir@tata-consulting.co.uk"},{"u":"leadership.html","t":"Leadership","d":"Meet the operating committee of Tata Consulting Services, PLC - twelve practitioners who lead one of the world's largest professional services firms.","b":"Leadership The people who run Tata. An operating committee of practitioners. Most of our leaders spent decades inside the disciplines they now oversee - building, delivering, and learning the hard way before stepping into leadership. Operating committee Twelve leaders, one P&L. AK Anand Krishnan Chief Executive Officer & Managing Director PI Priya Iyer Chief Operating Officer MH Marcus Hale President, Banking & Financial Services YT Yuki Tanaka Chief Technology Officer SR Sofia Reyes President, Europe RM Rohan Mehta Chief Financial Officer AP Aisha Patel Chief Human Resources Officer DO David Okonkwo Global Head, AI & Data HB Helena Bauer President, Insurance KS Kenji Sato President, Manufacturing LS Lara Schmidt President, Retail & Consumer Products NR Naila Rahman President, Healthcare & Life Sciences \" The role of leadership here is to make the next generation of leaders look obvious in hindsight. Anand Krishnan - Chief Executive Officer Want to meet the team? Get in touch"},{"u":"managed-services.html","t":"Managed services","d":"Outcome-led managed services spanning reliability engineering, observability, service operations, and run-cost optimisation.","b":"Run / Managed services Managed services that make reliability feel routine. We take accountability for hybrid estates, service operations, observability, and resilience for clients that cannot afford drama in production. The model is outcome-led: fewer incidents, faster recovery, sharper run economics, and a technology estate that gets better while it runs. What this service category is built to do. Our managed services teams combine platform engineering, site reliability, service management, and operational analytics in the same run model. That matters because most client pain does not sit neatly inside a single tower anymore. We typically begin with a ninety-day stabilisation plan, then move into automation, resilience engineering, and commercial baselining so the operating model keeps compounding instead of settling into reactive support. Talk to a Run partner A typical managed-services operating model joins observability, command, automation, and service experience into one accountable run spine. Outcomes we manage to The run metrics clients hold us to. 99.98% critical-service availability across run towers 36% lower incident volume in year one 24x7 follow-the-sun command coverage 43% L1/L2 automation after stabilisation Core capabilities The workstreams inside the run model. Capability 01 Integrated command centre A single operational picture across infrastructure, applications, cloud, service demand, and business-impact signals. Capability 02 Reliability engineering SLOs, error budgets, resilience rehearsals, recovery design, and the engineering discipline to reduce recurring failure. Capability 03 AIOps and automation Signal correlation, self-healing, change-risk controls, and runbook automation that reduce toil instead of shifting it. Capability 04 Service experience Multilingual service desk, executive reporting, and clear user-facing communications when issues do happen. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Stabilise fast We establish a run baseline, map service criticality, and remove the biggest sources of repeat failure within the first ninety days. Phase 02 Instrument everything Golden signals, dependency maps, and business-service views make incident prioritisation and change approval materially better. Phase 03 Improve the run every quarter Each QBR tracks automation yield, resilience posture, run-cost takeout, and the next backlog of engineering improvements. Where it shows up Case…"},{"u":"network-infrastructure.html","t":"Network & infrastructure","d":"Modernise and run hybrid infrastructure, workplace, network, edge, and resilience foundations for critical enterprises.","b":"Run / Network & infrastructure Networks and infrastructure built for resilience, not just reach. We design, run, and optimise the hybrid foundations that everything else depends on: cloud landing zones, data centres, workplace, wide-area networks, industrial edge, and the observability needed to keep them healthy under real load. What this service category is built to do. Infrastructure programmes often over-focus on migration while under-investing in the discipline required to operate the target state. That is why costs creep, visibility fragments, and incidents still take too long to isolate even after the platform 'modernises'. Our model brings architecture, reliability, and day-two operations together from the start, so every transformation includes the tooling, standards, and operating rhythm required to keep the estate stable at scale. Talk to a Run partner Our infrastructure model connects landing zones, workplace, edge, and network telemetry into one resilient operating baseline instead of four separate support towers. Outcomes we manage to The run metrics clients hold us to. 4.8M managed endpoints, devices, and edge nodes 41% faster incident isolation on modernised estates 92% policy compliance on governed infrastructure baselines 30% lower WAN and hosting spend after optimisation Core capabilities The workstreams inside the run model. Capability 01 Hybrid cloud foundations Landing zones, identity, policy, observability, and cost controls that make cloud estates operable at enterprise scale. Capability 02 Network transformation Campus, branch, SD-WAN, core, and telco-grade network modernisation tied to clear resilience and performance outcomes. Capability 03 Digital workplace Endpoint, collaboration, field, and workplace services designed around user productivity and support quality. Capability 04 Edge and cyber-resilient infrastructure Industrial sites, grid edges, telco stacks, and critical environments that demand local survivability and central visibility. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Design for day-two operations We define supportability, observability, and failover patterns before the first migration or rollout begins. Phase 02 Automate provisioning and policy Golden paths, zero-touch deployment, and compliance controls reduce configuration drift and ticket demand. Phase 03 Rehearse resilience Major incident drills, capacity stress, and regional failover tests become a standing…"},{"u":"newsroom.html","t":"Newsroom","d":"Press releases, announcements, awards, and media resources from Tata Consulting Services, PLC.","b":"Newsroom Announcements, releases, and recognitions. Where we share the things we're saying publicly - results, partnerships, awards, and the occasional point of view we feel strongly enough to put a name on. Recent Latest announcements. Archive May 14, 2026 - Press release Tata expands European delivery footprint with new Madrid campus. Three thousand engineers, designers, and consultants will be based in the new center by 2028. Read release Apr 28, 2026 - Press release Q4 FY25 results: revenue up 8.4% YoY, margin holds at 24.6%. Annual revenue crosses £23B; record TCV bookings driven by AI and cloud engagements. Read release Apr 02, 2026 - Announcement Tata joins UN Climate Action Compact. Commits to net-zero across owned operations by 2030, full supply chain by 2040. Read release Mar 18, 2026 - Press release Strategic alliance with a leading hyperscaler expands managed AI services. Joint go-to-market across financial services, manufacturing, and healthcare. Read release Feb 24, 2026 - Award Recognised as a Leader in the 2026 Cloud Services Magic Quadrant. Sixth consecutive year in the Leaders quadrant. Read release Jan 30, 2026 - Press release Tata to acquire a specialist healthcare data engineering firm. Strengthens life sciences delivery in North America and Europe. Read release Media inquiries Working on a story? For journalist or analyst inquiries, briefings, or interview requests, our global communications team responds within one business day. press@tata-consulting.co.uk"},{"u":"partners.html","t":"Partners","d":"Hyperscale alliances, strategic alliances, technology partners, the Tata Ventures network, and academic partnerships.","b":"Partners Strong on our own. Stronger together. We bring 615,000 people. Our partners bring the platforms, the products, the science, and the standards. Clients get the union of both - not the seams. Hyperscale alliance Cloud platforms Co-engineering, joint go-to-market, and shared customer success across the three largest public-cloud providers. Explore partnership Strategic alliance Core enterprise software Deep delivery practices around SAP, Oracle, Microsoft, Salesforce, ServiceNow, and Workday - implementation, migration, and managed run. Explore partnership Technology partner Data & AI Joint capabilities with Databricks, Snowflake, Confluent, and the leading model providers - to put AI into production, not pilots. Explore partnership Innovation network Startups & ventures Tata Ventures invests in and co-builds with 80+ enterprise startups. We bring them into client engagements when their tech is ready. Explore partnership Academic partnership Research & talent Joint research centers with 30+ universities globally. Sponsored chairs, applied research, and a steady pipeline of graduate hires. Explore partnership Industry consortia Standards & advocacy Active participation in cloud, AI safety, cybersecurity, and sustainability standards bodies - shaping the rules of the road. Explore partnership \" Partnerships aren't a logo wall. They're a way of jointly being accountable for an outcome - which is harder, slower, and almost always worth it. Yuki Tanaka - Chief Technology Officer Become a Tata partner. Start the conversation"},{"u":"privacy.html","t":"Privacy notice","d":"How Tata collects, uses, shares, and safeguards personal information.","b":"Legal Privacy notice. This notice describes how Tata Consulting Services, PLC collects, uses, shares, and safeguards personal information when you visit our websites, contact us, or use services we provide. Last updated: 27 May 2026. Information we collect We collect information you give us directly - such as your name, work email, employer, and the contents of any message you send via a contact form. We collect technical information automatically, including IP address, device and browser identifiers, and pages viewed. We do not collect special-category data (health, biometric, political opinion, etc.) through this site. How we use it To respond to your inquiries and route them to the right team. To send you information you have requested (e.g., newsletters or reports). 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Contact Tata Consulting Services, PLC - Data Privacy Office. Email: privacy@tata-consulting.co.uk ."},{"u":"services.html","t":"What we do","d":"From cloud and AI to cybersecurity, engineering, and managed operations - explore the full set of services Tata delivers to the world's largest enterprises.","b":"What we do The full stack of services. One accountable partner. Twelve disciplines, one operating model. We build, run, and transform the enterprise systems that the largest organisations in the world depend on - delivered as a single, integrated practice. Build Engineering the systems of record - and the systems of intelligence. 01 / Build Cloud transformation Migrate, re-platform, and modernise on AWS, Azure, and Google Cloud. We have moved more than 18,000 enterprise workloads to public cloud since 2018 - and run most of them after we moved them. 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Browse platforms Bring us the problem you can't get past. Start a conversation"},{"u":"sustainability.html","t":"Sustainability","d":"Tata's commitments and progress on climate, people, and governance - reported quarterly and audited externally.","b":"Sustainability A better tomorrow, built deliberately. We've made specific, dated commitments across planet, people, and governance. They're measured, reported externally, and reviewed by the board every quarter. Where we're focused Three pillars. Twenty-six commitments. One number we report against every quarter. Planet Net-zero across owned operations by 2030. Renewable electricity in all owned facilities by 2027; full Scope 3 reporting by 2028; net-zero across the supply chain by 2040. People Equal opportunity by design. 45% women across global workforce by 2030; pay equity audited annually; mental health resources in all countries we operate. Governance Trust as an operating discipline. Independent board majority; third-party ethics audits annually; supplier code of conduct enforced through procurement. Progress so far Numbers we're held to. 47% Reduction in Scope 1 + 2 emissions since 2018 100% Renewable electricity across owned operations by 2027 39.5% Women in workforce; 38% in middle management $2.4K Per-employee annual learning budget, all geographies Reports & disclosures Read the detail. Subscribe to ESG updates Sustainability report 2025 PDF - 8.6 MB CDP climate disclosure PDF - 3.1 MB SASB framework alignment PDF - 1.8 MB Partner with us on what's next. Talk to the ESG team"},{"u":"terms.html","t":"Terms of use","d":"Terms governing your use of the Tata Consulting Services, PLC website.","b":"Legal Terms of use. These terms govern your use of this website. By using the site you agree to them; if you do not, please stop using the site. Last updated: 27 May 2026. Use of materials Content on this site is provided for general information. 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The mission hasn't changed: help organisations build a better future, by doing the hard, durable work of transforming how they actually run. Who we are A partner that's still here in year twenty-five. We aren't a firm that arrives with a deck and leaves with a check. We embed. We train. We run. We hand back. The average tenure of our top 100 client relationships is over 17 years - not because contracts are sticky, but because outcomes are. That's what \"building on belief\" means: a belief that the engine of progress is patient, long-running partnership - the kind that survives strategy resets, leadership turnover, and the next wave of technology. Talk to us By the numbers Global scale, local depth. 615K+ Employees in 55 countries 152 Nationalities represented £23B Annual revenue, FY25 39.5% Women in the workforce Our home market Rooted in the United Kingdom. Tata Consulting Services, PLC is a UK-registered company, and the United Kingdom is home to some of our most advanced engineering. Our London office on Old Bailey is an Engineering Centre of Excellence - the team behind our next-generation Internal Developer Platforms and the cloud, cloud-native, IoT, DevOps, AI, and automation work we take to clients across the country and around the world. From the City of London we serve British enterprises and public bodies, contribute to open source communities and host client teams who want to see modern platform engineering up close. Explore the London office Engineering Centre of Excellence London 17 Old Bailey London EC4M 7EG United Kingdom Explore the London office Divisional Leadership People who've spent careers building, not selling. Full board AK Aaditya Kumar General Manager - TCS Labs PI Priya Iyer P&L Owner - TCS Labs MH Marcus Hale Vice President Banking & Financial Services TY Tanka Yokomoto Divisional Chief Technology Officer SR Sofia Reyes Vice President, Europe Government Services RM Samir Seksaria Managing Director, Home Placement AP Aisha Patel Human Resources, Divisional Head DO Kenji Sato Global Head, AI & Data What we believe Six commitments that show up in every engagement. Long term, not next quarter We measure success in decades. So do our most successful clients.…"},{"u":"accessibility.html","t":"Accessibility","d":"Tata's commitment to accessibility, the standards we target, known limitations, and how to give us feedback.","b":"Legal Accessibility. Tata is committed to making this site usable by the widest possible audience, regardless of ability, technology, or context. Last updated: 27 May 2026. 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We aim to respond within five working days."},{"u":"alumni.html","t":"Alumni","d":"Stay connected through the Tata alumni network - 850,000+ members, 140+ local chapters, mentoring, events, and boomerang priority.","b":"Alumni Once Tata. Always Tata. Over 850,000 people have been part of Tata across our history. The network you joined when you walked in is yours for life - whether you're still here or building somewhere new. The network in numbers A community that keeps showing up for itself. 850K+ Alumni globally 140+ Local chapters in 60 countries 2,400+ Boomerang rehires per year 180+ Alumni-led events annually Stay connected Join the alumni network. Verify your alumnus status to unlock the directory, local events, mentoring, and access to internal job postings during boomerang season. If you left within the last five years, your verification is automatic from your last-known work email. Verify and join What you get Membership benefits. Global directory Search 850,000+ members by skill, geography, employer, or graduation cohort. Local chapters Quarterly meetups, monthly socials, and chapter-led mentorship in your city. Mentoring Volunteer to mentor or get matched - both sides report it as the highest-value benefit. Boomerang priority Internal job postings, fast-track interviews, and credited tenure for returning alumni. Continuing education Free access to a subset of our internal learning platform across cloud, AI, and consulting. Newsletter A quarterly digest of what's changing - in Tata and in the industry. Lost touch? Find your way back in. Reach the alumni team"},{"u":"business-operations.html","t":"Business operations","d":"Transform and run business operations across claims, finance, procurement, customer service, and intelligent operations.","b":"Run / Business operations Business operations that scale without adding friction. We redesign and run the processes that customers and employees feel when technology hands off to operations: claims, finance, service, fulfilment, workforce, and the control structures that keep those journeys fast, compliant, and measurable. What this service category is built to do. Operations teams are often asked to absorb the mess left behind by fragmented systems and slow policy change. We start by making the work visible with process mining, service metrics, and frontline evidence, then redesign the operating model around flow instead of queues. The result is not just lower cost-to-serve. Clients get faster outcomes, clearer controls, and a workforce that spends more time on exceptions, empathy, and value-added judgement instead of repetitive manual routing. Talk to a Run partner The operating model links process insight, workflow orchestration, automation, and frontline enablement so improvement sticks after go-live. Outcomes we manage to The run metrics clients hold us to. 91% straight-through processing on mature operations flows 28% faster cash and case cycle times 18 pts average service-experience uplift 35% lower cost-to-serve after redesign Core capabilities The workstreams inside the run model. Capability 01 Finance and back-office operations Order-to-cash, procure-to-pay, record-to-report, and controls transformation tied to measurable cycle-time improvement. Capability 02 Customer and service operations Contact-centre, case, and field-service models designed for channel clarity and better experience outcomes. Capability 03 Industry-specific operations Claims, care operations, fulfilment, and other domain-heavy processes where compliance and empathy both matter. Capability 04 Intelligent operations Process mining, workflow, automation, and quality controls that reduce rework without creating a brittle black box. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Baseline the real work We use process, service, and human evidence to quantify where flow breaks, where rework starts, and which controls matter. Phase 02 Redesign around outcomes Queues, rules, tooling, and team roles are rebuilt around end-to-end completion instead of local utilisation metrics. Phase 03 Manage by signal Operations leaders gain live views of cycle time, exceptions, quality, and experience so improvement becomes an operating habit. Where it…"},{"u":"career-ai-ml-engineer.html","t":"AI/ML engineer - Careers","d":"Take machine learning models from notebook to production for enterprise clients - MLOps, model serving, and the evaluation discipline that keeps them honest.","b":"Open role - Bengaluru / Pune / Toronto AI/ML engineer You'll take machine learning models from a data scientist's notebook to production - MLOps, model serving, and the evaluation discipline that keeps them honest. About the role. You'll work alongside our AI & Data practice to take models from a data scientist's notebook into production systems that enterprise clients actually run - which means MLOps, model serving, monitoring, and the evaluation discipline that catches drift before a client does. Clients bring genuinely hard problems: fraud detection at transaction-time latency, demand forecasting across volatile supply chains, document extraction pipelines that have to be right, not just plausible. Apply for this role Bengaluru / Pune / Toronto What you'll do The shape of the work. Build Productionise models Turn research-quality models into services with defined SLAs - versioned, monitored, and rollback-able like any other production system. Evaluate Own the evaluation harness Build and maintain the offline and online evaluation suites that tell us - before the client does - when a model's performance has degraded. Partner Work directly with client data science teams Pair with client-side practitioners to transfer the operational discipline, not just hand over a deployed endpoint. What you'll bring What we're looking for. Must have 2+ years shipping ML in production Experience taking at least one model beyond a notebook - training pipelines, serving infrastructure, monitoring. Must have Strong Python Comfortable across the modern ML stack - PyTorch or TensorFlow, plus the surrounding tooling (MLflow, Airflow, or equivalents). Preferred MLOps platform experience Kubeflow, SageMaker, Vertex AI, or a comparable production ML platform. Preferred Domain exposure Prior work in fraud, forecasting, or document/NLP pipelines is a strong plus. Also hiring Other open roles you might like. See all open roles Also hiring Software engineer - Cloud platforms Multiple - Global Also hiring Cybersecurity consultant London / Frankfurt / Singapore Also hiring Product designer New York / Amsterdam Ready to apply for AI/ML engineer? Send your CV"},{"u":"career-cybersecurity-consultant.html","t":"Cybersecurity consultant - Careers","d":"Advise enterprise clients on zero-trust architecture, identity, and incident readiness - assessment through to implementation, across regulated industries.","b":"Open role - London / Frankfurt / Singapore Cybersecurity consultant You'll advise enterprise clients on zero-trust architecture, identity, and incident readiness - assessment through to hands-on implementation. About the role. You'll advise enterprise clients across banking, insurance, and public sector on security posture - from architecture review and threat modelling through to hands-on implementation of identity, segmentation, and detection controls. Our clients don't need another slide deck telling them they're at risk. They need someone who can sit with their platform teams and get zero-trust principles actually implemented, on their timeline, without breaking the systems that run their business. Apply for this role London / Frankfurt / Singapore What you'll do The shape of the work. Assess Run security assessments and audits Lead architecture reviews, threat modelling sessions, and control gap assessments against frameworks like NIST, ISO 27001, and industry-specific regulation. Advise Translate risk into a roadmap Turn assessment findings into a prioritised remediation plan the client's engineering teams can actually execute against. Implement Get hands-on where it counts Work directly alongside client teams on identity, network segmentation, and telemetry implementation - not just advisory from the sidelines. What you'll bring What we're looking for. Must have 4+ years in security consulting or engineering Direct experience advising on or implementing security architecture for enterprise environments. Must have A recognised certification CISSP, CISM, or equivalent - or a clear path to obtaining one within your first year, which we'll sponsor. Preferred Regulatory framework depth Familiarity with financial-services or public-sector compliance regimes (PCI DSS, DORA, FedRAMP, or local equivalents). Preferred Client-facing consulting experience Comfortable running a workshop with a client CISO as well as a technical deep-dive with their platform engineers. Also hiring Other open roles you might like. See all open roles Also hiring Software engineer - Cloud platforms Multiple - Global Also hiring AI/ML engineer Bengaluru / Pune / Toronto Also hiring Product designer New York / Amsterdam Ready to apply for Cybersecurity consultant? Send your CV"},{"u":"career-data-engineer.html","t":"Data engineer - Careers","d":"Build the pipelines and data platforms that power analytics, reporting, and AI for enterprise clients at global scale.","b":"Open role - Multiple - Global Data engineer You'll build and operate the data pipelines and platforms that power analytics, reporting, and AI at global scale. About the role. You'll build and operate the data pipelines and platforms that feed analytics, regulatory reporting, and AI workloads for enterprise clients - often moving petabyte-scale data out of legacy warehouses and into modern, governed platforms. The work is unglamorous in the best way: data quality, lineage, and pipeline reliability, done well enough that the analysts and data scientists downstream never have to think about it. Apply for this role Multiple - Global What you'll do The shape of the work. Build Design and build data pipelines Build batch and streaming pipelines using tools like Spark, Kafka, and Airflow, with data quality and lineage built in from the start, not bolted on after. Model Design data models clients can trust Design warehouse and lakehouse schemas that hold up under real query load and evolve without breaking every downstream consumer. Govern Make data trustworthy Implement the governance, cataloguing, and access-control layer that lets a client's analysts self-serve without a data engineer in the loop for every request. What you'll bring What we're looking for. Must have 3+ years in data engineering Production experience building and operating pipelines at meaningful scale - not just prototypes. Must have SQL and a pipeline framework Strong SQL plus hands-on experience with Spark, dbt, Airflow, or a comparable orchestration/transformation stack. Preferred Cloud data platform depth Experience with Snowflake, BigQuery, Databricks, or Redshift at production scale. Preferred Streaming experience Kafka or a comparable streaming platform, for clients moving from batch to near-real-time reporting. Also hiring Other open roles you might like. See all open roles Also hiring Software engineer - Cloud platforms Multiple - Global Also hiring AI/ML engineer Bengaluru / Pune / Toronto Also hiring Cybersecurity consultant London / Frankfurt / Singapore Ready to apply for Data engineer? Send your CV"},{"u":"career-product-designer.html","t":"Product designer - Careers","d":"Design digital products for enterprise clients - research, systems thinking, and craft, working directly with engineering from day one.","b":"Open role - New York / Amsterdam Product designer You'll design digital products for enterprise clients, embedded with engineering from research through to delivery. About the role. You'll design digital products and experiences for enterprise clients - often replacing decades-old internal tools that the people using them have simply learned to tolerate. This is a hands-on craft role embedded with engineering, not a design team working in isolation. You'll do the research, build the system, and stay involved through implementation - so what ships matches what you designed. Apply for this role New York / Amsterdam What you'll do The shape of the work. Research Understand the people who'll use it Run discovery with end users - often frontline staff, not just the stakeholders who commissioned the project - to find where the real friction is. Design Build systems, not just screens Design coherent, scalable interaction and visual systems that hold up as a product grows past its first release. Partner Stay involved through delivery Work directly with engineering through implementation, reviewing built output against design intent rather than handing off and moving on. What you'll bring What we're looking for. Must have 4+ years in product design A portfolio showing shipped work, including the research and systems thinking behind it, not just final screens. Must have Enterprise or complex-workflow experience Comfortable designing for dense, multi-step, permission-gated workflows - not just consumer-simple flows. Preferred Design systems experience Prior work building or extending a component-based design system used by multiple teams. Preferred Fluency with engineering Enough front-end literacy to have a real conversation with the engineers building your designs. Also hiring Other open roles you might like. See all open roles Also hiring Software engineer - Cloud platforms Multiple - Global Also hiring AI/ML engineer Bengaluru / Pune / Toronto Also hiring Cybersecurity consultant London / Frankfurt / Singapore Ready to apply for Product designer? Send your CV"},{"u":"career-sap-s4hana-architect.html","t":"SAP S/4HANA architect - Careers","d":"Lead SAP S/4HANA transformation programmes for enterprise clients - architecture, migration strategy, and integration design.","b":"Open role - Walldorf / Mumbai SAP S/4HANA architect You'll lead solution architecture for SAP S/4HANA transformation programmes, from migration strategy through to go-live. About the role. You'll lead solution architecture for SAP S/4HANA transformation programmes - core ERP migrations for clients where the finance, supply chain, or manufacturing backbone genuinely cannot go down. You'll set the migration strategy (greenfield, brownfield, or selective data transition), design the integration landscape around it, and stay accountable for the architecture through go-live, not just the design phase. Apply for this role Walldorf / Mumbai What you'll do The shape of the work. Architect Own the target architecture Define the S/4HANA solution architecture, module scope, and integration landscape for large-scale ERP transformation programmes. Strategise Choose the right migration path Assess and recommend greenfield, brownfield, or selective data transition based on the client's data quality, customisation depth, and timeline. Govern Stay accountable through go-live Chair architecture review boards through build and cutover, resolving design conflicts before they become production incidents. What you'll bring What we're looking for. Must have 6+ years in SAP architecture Led solution architecture for at least one full S/4HANA implementation or migration, start to go-live. Must have Cross-module depth Strong grounding across FI/CO plus at least one of MM, SD, or PP, and how they integrate. Preferred SAP BTP and integration Experience with SAP Business Technology Platform and integration tooling (SAP PI/PO, Integration Suite, or equivalent). Preferred Certification SAP-certified in S/4HANA architecture or a relevant module; we'll sponsor renewal and further certification. Also hiring Other open roles you might like. See all open roles Also hiring Software engineer - Cloud platforms Multiple - Global Also hiring AI/ML engineer Bengaluru / Pune / Toronto Also hiring Cybersecurity consultant London / Frankfurt / Singapore Ready to apply for SAP S/4HANA architect? Send your CV"},{"u":"career-software-engineer-cloud-platforms.html","t":"Software engineer, Cloud platforms - Careers","d":"Design and operate the multi-cloud infrastructure and platform tooling behind client migrations run at global scale. Multiple locations, worldwide.","b":"Open role - Multiple - Global Software engineer - Cloud platforms You'll design and operate the multi-cloud infrastructure underneath our largest client migrations, with production ownership from day one. About the role. You'll join a platform engineering group that designs, builds, and operates the cloud infrastructure underneath our largest client migrations - workloads spanning AWS, Azure, and GCP, often across regulated industries where downtime has a real cost. This isn't a maintenance role. You'll be shipping infrastructure-as-code, container platforms, and CI/CD tooling that client teams depend on directly, with production ownership from day one. Apply for this role Multiple - Global What you'll do The shape of the work. Build Design and build cloud infrastructure Author Terraform and Kubernetes manifests for multi-tenant environments serving enterprise clients, with an eye toward cost, security, and repeatability. Operate Own what you ship in production Carry rotation for the platforms you build. Write the runbooks, tune the alerts, and be the first call when something breaks. Improve Raise the platform's floor Find the manual step nobody's automated yet and remove it. Every quarter, the platform should need less human intervention than the one before. What you'll bring What we're looking for. Must have 3+ years in cloud infrastructure Production experience with at least one major cloud provider and infrastructure-as-code (Terraform, Pulumi, or CloudFormation). Must have Container orchestration Comfortable operating Kubernetes in production - not just deploying to it, but debugging it at 2am. Preferred A scripting language Python or Go, well enough to write tooling, not just glue code. Preferred Regulated-industry exposure Prior work in banking, insurance, or healthcare, where change control and audit trails are part of the job. Also hiring Other open roles you might like. See all open roles Also hiring AI/ML engineer Bengaluru / Pune / Toronto Also hiring Cybersecurity consultant London / Frankfurt / Singapore Also hiring Product designer New York / Amsterdam Ready to apply for Software engineer - Cloud platforms? Send your CV"},{"u":"careers.html","t":"Careers","d":"Build a long-term career at Tata - engineering, design, research, consulting, and operations roles across 55 countries.","b":"Careers Come build something people will still be using in twenty years. We hire engineers, designers, researchers, consultants, and operators across 55 countries. We're not for everyone. We're for people who'd rather ship the boring, durable thing than the flashy short-lived thing. By the numbers Hiring at scale, hiring with care. 615K+ People worldwide 152 Nationalities 39.5% Women in workforce ~80K New hires last fiscal year Why join Six things you'd tell a friend after a year. Build for scale that matters Your code, your designs, your decisions - touching tens of millions of people, often within months of joining. Decades-long mentorship Average tenure of our principal engineers is 18 years. The people teaching you have done the work. Learn-by-doing, paid for $2,400 a year per employee for learning, plus full sponsorship for certifications that map to your career path. Move with the work Internal mobility is the default. Forty-one percent of our consultants change role or geography every three years. Flexible by default Hybrid where it works, remote where it makes sense, on-site where the client needs us. We hire for outcomes. Health for the long game Comprehensive health, family, mental-health, and retirement benefits - in every country we operate. Open roles Hiring across 14 disciplines. Browse all roles Software engineer - Cloud platforms Multiple - Global AI/ML engineer Bengaluru / Pune / Toronto Cybersecurity consultant London / Frankfurt / Singapore Product designer New York / Amsterdam Data engineer Multiple - Global SAP S/4HANA architect Walldorf / Mumbai Don't see your role? Send us your CV anyway. Send a note"},{"u":"case-airline-loyalty-unification.html","t":"Airline loyalty unification","d":"How Tata unified a loyalty platform across nine airline sub-brands and unlocked incremental revenue.","b":"Case study Loyalty platform unified across 9 sub-brands. The airline group had accumulated brands, alliances, and loyalty rules faster than it could rationalise them. We designed a shared loyalty spine with local brand flexibility so members finally experienced one programme even when the back-end economics stayed market-specific. 9 sub-brands unified +24% repeat booking uplift $310M incremental year-one revenue 1 single member profile per traveller The situation we walked into. Members could earn and redeem across the group, but profile data, pricing rules, and campaign tooling were still fragmented by brand. Marketing teams could not act on traveller behaviour fast enough, and customer service teams had no trustworthy single view of a member. The airline needed group-level loyalty economics with market-level flexibility. That required more than a database consolidation; it required a new operating model for campaigns, pricing, and member support. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Identity and profile merge Traveller data was matched into a single member spine with transparent survivorship rules and support workflows. Stream 02 Earning and redemption logic Shared loyalty services handled points, tiers, partner rules, and offer orchestration across all brands. Stream 03 Campaign operations Marketing teams shifted from quarterly batch planning to near-real-time traveller segmentation and experiment design. Stream 04 Service integration Contact-centre and airport teams accessed one member view with brand-specific context layered on top. Execution rhythm How the delivery moved from pilot to scaled operation. Stage 1 Programme blueprint The group agreed on shared member concepts, local exceptions, and a phased migration path. Stage 2 Profile unification Identity, consent, and historic activity moved into a common member model with rigorous data-quality checks. Stage 3 Commercial activation Offer, campaign, and redemption services went live brand by brand without disrupting live bookings. Stage 4 Group optimisation The airline began running loyalty experiments and lifecycle plays at the group level with market-specific controls. Twelve months later What changed after the transformation settled into the run. Outcome 01 Members experienced the group as one programme Travellers could…"},{"u":"case-banking-cloud-native.html","t":"Retail bank cloud-native modernisation","d":"How Tata modernised a 220M-account retail bank to a cloud-native operating model in 18 months without customer-facing incidents.","b":"Case study Modernising a 220M-account retail bank to cloud-native in 18 months. A European retail bank had already spent three years trying to replace its core in waves. We reset the program around domain-by-domain modernisation, an event backbone, and a managed cutover factory that could survive real regulatory scrutiny. 220M customer accounts migrated 18 months from reset to final country cutover 70% faster launch cycle for new products 0 customer-facing incidents during cutover The situation we walked into. The client carried 420 downstream applications on top of a 30-year-old core, with country-specific product logic hard-coded into nightly batches. Every prior migration attempt had stalled when finance, fraud, and servicing teams discovered a dependency too late. We reframed the objective away from 'replace the core' and toward 'make product launches and resiliency materially better'. That let the bank sequence work by customer journeys, keep regulators informed with live evidence, and prove value before the final country cutover. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Core decomposition Deposits, cards, lending, and servicing were carved into independently releasable domains with shared policy services. Stream 02 Event fabric Kafka-backed canonical events replaced overnight file movement so risk, finance, and channels could subscribe in real time. Stream 03 Cutover factory Every rehearsal executed against the same runbooks, controls, rollback triggers, and executive command-centre dashboards. Stream 04 Run transition Managed services and SRE teams stood up 24x7 reliability coverage before the first production migration. Execution rhythm How the delivery moved from pilot to scaled operation. Months 0-3 Program reset A single control tower, release calendar, and regulator-ready evidence pack replaced 17 local workstreams. Months 4-8 Foundations live Deposits and onboarding domains launched behind APIs while the legacy core still handled settlement. Months 9-14 Dual-run scale-up Cards, servicing, and customer messaging ran in parallel for six countries with automated reconciliation. Months 15-18 Country cutovers Weekend migrations completed with rehearsed rollback points, war-room telemetry, and board-level dashboards. Twelve months later What changed after the transformation…"},{"u":"case-connected-factory-oem.html","t":"Connected factory transformation","d":"How Tata connected 40 plants for a global OEM with real-time supply, quality, and production intelligence.","b":"Case study Connected factory across 40 plants on 18 countries' production lines. The OEM had a world-class engineering culture but no single operational picture of its plants. We connected machines, quality stations, suppliers, and planning systems so plant managers could act on the same signal within minutes, not days. 40 plants connected to one manufacturing fabric 18 countries rolled into the same operating model 23% reduction in unplanned downtime $180M annualised inventory release The situation we walked into. Each plant had optimised locally around its own MES, supplier cadence, and maintenance routines. That produced heroic local performance but made global planning brittle whenever a component shortage, quality excursion, or equipment issue hit multiple regions at once. The client wanted more than dashboards. It needed plant supervisors, planners, and suppliers to work off the same operational model so schedule changes could happen mid-shift without creating hidden backlogs downstream. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Industrial data layer Machine telemetry, SPC systems, and maintenance signals were normalised into a shared manufacturing event model. Stream 02 Supplier visibility Tier-1 and critical Tier-2 suppliers published shipment and quality checkpoints into the same control plane. Stream 03 Digital twin rooms Plant teams used scenario boards to simulate changeovers, component shortages, and labour constraints before acting. Stream 04 Edge operations Low-latency analytics and local failover kept plants running even when wider network links degraded. Execution rhythm How the delivery moved from pilot to scaled operation. Quarter 1 Three-plant pilot We proved uptime and quality use cases in one drivetrain, one body, and one final-assembly plant. Quarter 2 Global template The OEM approved a reusable plant blueprint spanning data contracts, dashboards, and local operating roles. Quarter 3 Supplier integration Critical supply-chain checkpoints were added so planners could see constrained components before shortages hit lines. Quarter 4 Scale and optimise All 40 plants moved to common signal thresholds and the network operations team took over global support. Twelve months later What changed after the transformation settled into the run. Outcome 01 Maintenance became…"},{"u":"case-energy-grid-edge-intelligence.html","t":"Grid-edge intelligence case study","d":"How Tata helped a European utility build grid-edge intelligence across nine countries and reduce customer outage minutes.","b":"Case study Grid-edge intelligence across 9 countries. The utility had modernised generation forecasting, but its distribution operations still relied on fragmented alarm consoles and regional workflows. We built a grid-edge intelligence layer that joined asset, weather, field, and customer signals fast enough to change operational decisions in flight. 9 countries on one edge-operations model average outage detection time 38% faster renewables integration 41% fewer customer outage minutes The situation we walked into. Grid telemetry, field operations, weather services, and customer communications all existed, but they were consumed by different teams on different tools. That made it difficult to isolate faults quickly or rebalance crews during severe weather and renewables volatility. The utility wanted a system that operators would actually trust in the middle of an event. That meant strong correlation logic, clear confidence signals, and field workflows that stayed usable under pressure. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Edge telemetry model Substation, feeder, meter, and weather signals were normalised into a shared event backbone. Stream 02 Correlation engine Signal fusion narrowed likely fault locations and surfaced recommended dispatch paths with visible confidence scores. Stream 03 Field integration Dispatch, crew availability, and restoration progress were connected to the same operations workspace. Stream 04 Resilience drills Regional teams rehearsed storm scenarios using the new tooling before it became the default operating model. Execution rhythm How the delivery moved from pilot to scaled operation. Wave 1 Regional pilot Two control rooms and one severe-weather corridor adopted the event model and dispatch workspace. Wave 2 Signal expansion DER, smart-meter, and weather feeds increased correlation quality and narrowed false positives. Wave 3 Field rollout Crew, contractor, and customer-notification flows moved into the same operational cadence. Wave 4 Cross-border scale Nine-country operations teams adopted shared thresholds and joint storm playbooks. Twelve months later What changed after the transformation settled into the run. Outcome 01 Operators acted on stronger evidence Fewer alarms required manual correlation and dispatchers saw restoration options before…"},{"u":"case-healthcare-member-experience.html","t":"Healthcare member experience platform","d":"How Tata consolidated 36 healthcare portals into one digital front door serving 22M lives.","b":"Case study Member experience platform serving 22M lives. The payer's digital estate had grown through product launches, acquisitions, and vendor changes. We consolidated member access, care navigation, and plan servicing into a single front door that still respected market, employer, and regulatory differences behind the scenes. 22M lives served through the new platform 36 legacy portals retired 4.7 app store rating after relaunch 200K calls diverted per month The situation we walked into. Members were logging into different portals for claims, benefits, pharmacy, care navigation, and provider messaging. Call-centre agents had become the human glue between systems that should already have been connected. The payer wanted a unified experience without forcing a massive backend rewrite upfront. That meant front-end coherence, API mediation, and a carefully sequenced retirement plan for legacy surfaces. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Experience blueprint We mapped high-friction journeys across commercial, Medicare, and employer-sponsored plans to define one front-door pattern. Stream 02 Identity and access A new identity layer gave members, providers, and caregivers context-aware access without duplicate credentials. Stream 03 Journey orchestration Claims, benefits, pharmacy, and care programs were stitched together behind APIs and notification services. Stream 04 Service deflection Agent tools and member self-service were designed together so contact-centre scripts matched digital flows. Execution rhythm How the delivery moved from pilot to scaled operation. Sprint 1-4 Journey prioritisation We targeted the member tasks generating the highest avoidable call volume and the most fragmented entry points. Sprint 5-10 Platform foundation Identity, navigation, and content services shipped first so old and new journeys could coexist safely. Sprint 11-18 Journey migration Benefits, claims status, pharmacy, and care messaging moved into the new front door in waves. Sprint 19-24 Legacy retirement Portals and support scripts were decommissioned in lockstep with adoption metrics and agent feedback. Twelve months later What changed after the transformation settled into the run. Outcome 01 Members found answers faster High-volume service requests became trackable self-service flows with…"},{"u":"case-insurance-claims-automation.html","t":"Insurance claims automation","d":"How Tata automated property and casualty claims for a top-10 carrier with straight-through processing and faster outcomes.","b":"Case study Claims automated end-to-end for property & casualty. The carrier had strong digital intake but manual decisioning across triage, fraud review, and settlement. We rebuilt claims operations around process mining, orchestration, and human-in-the-loop controls so straight-through processing could scale without increasing leakage. 38 hours average resolution time after transformation 91% straight-through processing +18 NPS improvement in 12 months 14 days former average claim cycle time The situation we walked into. Digital claim submission was already live, but the real work still happened in swivel-chair handoffs between adjusters, document teams, and payment operations. As claim volumes rose, cycle times stretched and customer sentiment deteriorated. The client wanted automation without creating a black box. Any new model had to be auditable, easy to override, and explicitly tuned for complex weather, liability, and fraud scenarios. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Process mining We traced every manual touch, exception route, and rework pattern across home, auto, and commercial lines. Stream 02 Decision orchestration Rules, models, and document services were wrapped in a single claims workflow with visible checkpoints. Stream 03 Human-in-the-loop controls Adjusters could intervene on confidence thresholds, special handling flags, and suspicious claim combinations. Stream 04 Operations transition The operations team moved to exception management, model tuning, and proactive outreach instead of queue clearing. Execution rhythm How the delivery moved from pilot to scaled operation. Weeks 1-6 Claims baseline The carrier gained a fact base on the real sources of delay, leakage, and avoidable rework. Weeks 7-12 Automation spine live Low-complexity claims began routing through rules and document services with human checkpoints. Weeks 13-20 Fraud and exception tuning Confidence thresholds and specialist routing were calibrated using live claim outcomes. Weeks 21-32 National rollout The new workflow expanded across lines of business with service-level dashboards and QA feedback loops. Twelve months later What changed after the transformation settled into the run. Outcome 01 Customers stopped chasing status Most policyholders received a decision path and expected settlement…"},{"u":"case-public-sector-digital-identity.html","t":"Citizen identity transformation","d":"How Tata built a digital identity and service front door for 65M citizens while retiring 40 legacy systems.","b":"Case study Citizen identity and a single front door for 65M people. The agency needed a single digital front door, but public trust depended on making identity feel safe, accessible, and explainable. We designed the service around verified identity, assisted channels, and a migration plan that retired old systems only when adoption proved stable. 65M citizens in scope 24M monthly active users 40 legacy systems retired 82% lower cost per transaction The situation we walked into. Citizens were being redirected across departmental portals, each with separate credentials, inconsistent identity proofing, and uneven accessibility. At the same time, the agency had to preserve assisted channels for people who could not or would not use digital self-service. The programme carried unusual scrutiny from parliament, watchdogs, and civil society groups. Technical reliability mattered, but clear governance and service transparency mattered just as much. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Identity foundation Proofing, authentication, and delegated access flows were designed for both digital-first and assisted use cases. Stream 02 Agency onboarding Departments integrated through shared APIs, consent controls, and reusable service patterns instead of bespoke portals. Stream 03 Accessibility at scale Design, content, and engineering teams tested with assistive technologies and real user cohorts from the start. Stream 04 Operations and trust A live control room tracked performance, fraud signals, accessibility issues, and assisted-channel demand in one place. Execution rhythm How the delivery moved from pilot to scaled operation. Phase 1 Identity beta The agency launched identity proofing and basic account services with strong monitoring and assisted fallback. Phase 2 Priority services High-volume transactions moved first so the team could learn from real demand and support patterns. Phase 3 Department migration Legacy portals were retired in waves once adoption, accessibility, and support metrics cleared agreed thresholds. Phase 4 National scale The platform expanded into a common front door for multiple agencies with centralised service operations. Twelve months later What changed after the transformation settled into the run. Outcome 01 Citizens saw one coherent service The experience shifted…"},{"u":"case-retail-continuous-delivery.html","t":"Retail continuous delivery transformation","d":"How Tata moved a heritage retailer from quarterly releases to continuous delivery across 1,800 stores and digital channels.","b":"Case study From quarterly waterfalls to a release every three minutes - 1,800 stores. The retailer's digital and store technology teams were moving at completely different speeds. We rebuilt the release model around product squads, feature flags, and shared telemetry so store operations could trust rapid change instead of fearing it. 1,800 stores brought into the same release model 8x deployment frequency increase 95% drop in change-failure rate 3 min average release interval at peak The situation we walked into. The retailer had modern commerce ambitions, but store systems still depended on slow weekend release windows and manual certification. That meant even simple checkout or loyalty changes dragged through governance queues for weeks. The underlying issue was organisational. Product, store operations, payments, and merchandising all had different release calendars and different tolerance for risk. We had to make rapid delivery feel safer than slow delivery. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 Platform engineering A shared delivery platform standardised build pipelines, secrets, progressive delivery, and rollback automation. Stream 02 Store-safe releases Feature flags, dark launches, and cohort routing let the client test store changes without nationwide exposure. Stream 03 Experience telemetry Digital and in-store journeys were monitored on the same service map so defects could be isolated quickly. Stream 04 Operating model reset Quarterly program boards were replaced with weekly product reviews and release readiness scorecards. Execution rhythm How the delivery moved from pilot to scaled operation. Month 1 Value-stream mapping We identified release bottlenecks across POS, e-commerce, payments, and fulfilment. Month 2-4 Golden paths The first product teams moved to standard pipelines, automated testing, and on-call accountability. Month 5-8 Store rollout Pilot stores adopted progressive releases with playbooks for trade days, peaks, and local rollback. Month 9-12 Enterprise cadence Merchandising and operations leaders shifted planning into a continuous prioritisation rhythm. Twelve months later What changed after the transformation settled into the run. Outcome 01 Trading became more responsive Product teams now launch promotions, fulfilment tweaks, and checkout changes…"},{"u":"case-studies.html","t":"Case studies","d":"Outcomes our clients are most proud of - across banking, manufacturing, retail, insurance, healthcare, public sector, energy, communications, and travel.","b":"Case studies Outcomes our clients are most proud of. Anonymized where it matters, named where the client wants to be named. Each story now links through to a full delivery story with the operating context, the workstreams, and the measurable results one year later. Banking - Europe Modernising a 220M-account retail bank to cloud-native in 18 months. 70% faster time-to-market on new products; 60% reduction in run cost; zero customer-facing incidents during cutover. Read the case Manufacturing - Global OEM Connected factory across 40 plants on 18 countries' production lines. Real-time supplier and quality data; 23% drop in unplanned downtime; $180M annualized inventory release. Read the case Retail - 150-year-old chain From quarterly waterfalls to a release every three minutes - 1,800 stores. Continuous delivery across e-commerce + physical; 8x deployment frequency; 95% reduction in change-failure rate. Read the case Insurance - Top-10 carrier Claims automated end-to-end for property & casualty. Average resolution time 14 days → 38 hours; 91% straight-through processing; +18 NPS in 12 months. Read the case Healthcare - National payer Member experience platform serving 22M lives. Consolidated 36 legacy portals into one digital front door; 4.7-star app store rating; 200K calls/month diverted. Read the case Public sector - National Citizen identity and a single front door for 65M people. 40 legacy systems retired behind it; 24M monthly active users; cost-per-transaction down 82%. Read the case Energy - European utility Grid-edge intelligence across 9 countries. Outage detection sub-90s on average; renewables integration 38% faster; customer-facing outage minutes down 41%. Read the case Comms - Tier-1 telco 5G core launch and BSS modernisation in parallel. First 5G slice live in 9 months; OSS migration with zero net-new tickets to support; 2x faster new-product launches. Read the case Travel - Global airline Loyalty platform unified across 9 sub-brands. Single member view across the group; +24% repeat booking; +$310M incremental revenue in year one. Read the case Want to read a case from your industry? Request the deeper dive"},{"u":"case-telco-5g-bss-modernisation.html","t":"5G core and BSS modernisation","d":"How Tata launched 5G core services and modernised BSS in parallel for a tier-1 telecommunications operator.","b":"Case study 5G core launch and BSS modernisation in parallel. The operator could not afford to sequence network and commercial transformation one after the other. We ran 5G core rollout, product catalogue redesign, and BSS simplification in parallel so the business could monetise new network capability as soon as it went live. 9 months to first live 5G slice 2x faster new-product launches 0 net-new support tickets after OSS migration 14 legacy product stacks retired The situation we walked into. The telco's network teams were ready to launch 5G services, but product, billing, and service assurance stacks were too fragmented to support rapid commercialisation. Launching network capability without BSS reform would have created a shiny technical win with slow revenue impact. The programme had to preserve service continuity for existing customers while simplifying product logic, migrating assurance tooling, and training support operations on new service behaviours. A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track. Program workstreams The changes that made the outcome possible. Stream 01 5G core rollout Cloud-native network functions, observability, and resilience patterns were implemented with slice readiness from day one. Stream 02 Product catalogue reset The commercial catalogue was reduced and rebuilt around reusable product components instead of custom bundle logic. Stream 03 OSS/BSS migration Assurance, fulfilment, and billing workflows were reconnected to the new service model without duplicating support queues. Stream 04 Support readiness Operations teams rehearsed new-service incidents and commercial edge cases before public launch. Execution rhythm How the delivery moved from pilot to scaled operation. Month 1-3 Parallel foundations Network, product, and support leaders aligned around one release path instead of separate programs. Month 4-6 Catalogue and core build Reusable product components and slice-ready network services progressed against shared milestones. Month 7-8 Dress rehearsals Revenue, support, and assurance teams validated service activation, billing, and incident handling in live-like conditions. Month 9 Commercial launch The first slice and associated product offers launched together, shortening the path from capability to revenue. Twelve months later What changed after the transformation settled into the run. Outcome 01 New network services…"},{"u":"coe/idp.html","t":"Internal Developer Platform","d":"The Tata Internal Developer Platform is built and operated by the London Engineering Centre of Excellence on an open, cloud-native, AI-enabled stack. Service provider-grade architecture, strict multi-tenancy, policy-as-code RBAC, and a developer experience worth opening every morning - for hundreds of thousands of Tata engineers and client teams.","b":"The Tata Internal Developer Platform One platform for hundreds of thousands of engineers. Open, cloud-native, AI-enabled. The Tata Internal Developer Platform is the London Engineering Centre of Excellence's flagship product: a service provider-grade IDP that maps the deep, multi-tiered structure of a global enterprise onto a single, opinionated paved road - and ships it both inside Tata and to the clients we serve. It is built on open, AI-enabled, cloud-native foundations and on the wider cloud native ecosystem, drawing on cloud, DevOps, IoT, and automation patterns proven at scale. Open the platform See the architecture 550K+ Tata engineers eligible to onboard 200+ Active client tenants supported Cloud native Open source core 25 Internal tenant organizations Why we built it A platform that takes Tata's scale as a starting point, not an afterthought. Most IDPs are built for a single product team and stretched, painfully, to cover the rest of the business. Ours starts at the other end: an organisation with hundreds of thousands of engineers, deep multi-tiered hierarchies, and a client portfolio that pays close attention to audit, residency, and isolation. That changes every architectural decision underneath - and it changes who the platform is allowed to feel sluggish to (no one). Service provider-grade architecture Three properties we refuse to compromise on. Complex organisational hierarchies Group, business unit, account, sub-account, project, team, environment - the platform's logical boundaries mirror the real shape of the business. Move a team between business units and its golden paths, quotas, and policies follow it. Strict multi-tenancy Compute, network, and data isolation between business units and client projects is the default, not a configuration option. Workload identity, namespace boundaries, network policy, and storage all derive from the same tenant model. Policy-as-code RBAC Fine-grained role and attribute-based access control, expressed as code and version-controlled with the rest of the platform. Every action that needs an auditor's signature comes with an audit trail an auditor will actually read. How it fits together An open, cloud-native stack, top to bottom. An AI-enabled collaboration suite sits at the top of the platform with an infrastructure-as-design surface that enables architects, platform engineers, security teams, and developers to model, govern, deploy, and continuously reconcile cloud and cloud-native components across a…"},{"u":"coe/london.html","t":"London - Engineering Centre of Excellence","d":"The Tata Consulting Services, PLC London office is an engineering centre of excellence specialising in cloud, cloud-native, IoT, DevOps, AI, and automation - including next-generation Internal Developer Platforms, container orchestration (Kubernetes, OpenShift), and Developer Experience (DevEx).","b":"London, United Kingdom An engineering centre of excellence on the banks of the Thames. Our London studio specialises in building next-generation Internal Developer Platforms. We combine a rigorous approach to system architecture with a deep passion for Developer Experience - bridging the gap between complex cloud, cloud-native, IoT, DevOps, AI, and automation estates (container orchestration with Kubernetes, serverless, and the wider cloud stack) and seamless developer workflows. See what we build Join the studio 40+ consulting services engineers based in UK 14 FTSE 100 clients on UK platforms 400+ Microservices managed across UK estates 99.97% Platform availability across 2025 What we build in London Internal Developer Platforms that engineers actually want to use. An IDP is only worth building if it makes the day-to-day measurably better. Ours start with the developer's terminal, not the cloud provider's console - and earn their place by removing toil, not adding ceremony. The studio's flagship is the Tata Internal Developer Platform used both inside Tata and by clients of our strategic engagements. About the IDP Open the platform 01 Developer Experience surface CLI - portal - IDE plugins - PR-driven workflows - golden paths 02 Platform services Service catalogue - templates - CI/CD - secrets - observability - policy 03 Cloud-native runtime fabric Container orchestration (Kubernetes) - serverless (Knative, Lambda, Functions) - service mesh (Istio, Linkerd) - multi-tenant isolation - autoscaling 04 Hybrid & multi-cloud infrastructure AWS - Azure - GCP - on-prem - sovereign UK regions How we work Four pillars behind every platform we ship. Developer Experience first Every feature we add is judged on the developer's minute-by-minute experience. If a golden path is slower than the workaround, we have failed. Rigorous architecture We treat platforms as long-lived products. Architecture decisions are recorded, contested, and reviewed - never inherited by accident. Production from day one Nothing leaves the studio without an SLO, a runbook, and an on-call rota. Demos are nice; pagers at 03:00 are the real test. Open by default We build on - and contribute back to - the cloud, cloud-native, DevOps, AI, and automation ecosystems your engineers already trust: Kubernetes, OpenTelemetry, Backstage, Meshery, Argo, and the wider technology landscape. Inside the studio A working office, not a showroom. Our floor in the City sits between client teams, the open-source…"},{"u":"contact.html","t":"Contact","d":"Start a conversation with Tata Consulting Services, PLC. Find an office near you, or send us a note and we will respond within two business days.","b":"Contact Let's get to work. Tell us where you're stuck, where you're going, or just who we should know. The right person will respond within two business days - no funnels, no demo bots. Send us a note A few details to help us route it to the right team. All fields are required. Please use your work email - personal accounts (Gmail, Yahoo, Outlook, etc.) are not accepted. First name * Last name * Work email * Company * I'd like to talk about * Choose a topic… Cloud transformation AI & data Cybersecurity Strategy & consulting An industry-specific challenge Partnership opportunities Careers Media or analyst inquiry Tell us more * Send note Or skip the form Talk to a human, directly. If you already know which team you need, here is how to reach them. General inquiries uk@tata-consulting.co.uk Media & analysts press@tata-consulting.co.uk Investor relations ir@tata-consulting.co.uk Careers careers@tata-consulting.co.uk Offices A presence in 55 countries through the global TCS group . Here are the largest. Mumbai - Global HQ Tata House N. M. Marg, Apollo Bunder Mumbai 400001, India +91 22 6666 7777 New York 101 Park Avenue, 26th Floor New York, NY 10178 United States +1 212 555 0100 London - Engineering CoE 17 Old Bailey London EC4M 7EG United Kingdom +44 20 7220 0800 About the studio Singapore Marina Bay Financial Centre, Tower 3 12 Marina Boulevard Singapore 018982 +65 6222 0222 São Paulo Avenida Paulista, 1842 Bela Vista, São Paulo - SP Brazil 01310-200 +55 11 3000 0400 Tokyo Marunouchi Building, 21F 2-4-1 Marunouchi, Chiyoda-ku Tokyo 100-6321, Japan +81 3 5222 0900"},{"u":"cookies.html","t":"Cookies","d":"Information about the cookies this website uses and how to manage your preferences.","b":"Legal Cookies. We use a small set of cookies to make this site work and to understand how it is used. You can choose which categories to enable below. Last updated: 27 May 2026. What cookies are Cookies are small text files placed on your device by websites you visit. 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Email privacy@tata-consulting.co.uk ."},{"u":"enterprise-applications.html","t":"Enterprise applications","d":"Run and modernise enterprise applications across SAP, Oracle, Salesforce, ServiceNow, Workday, commerce, and custom workflow platforms.","b":"Run / Enterprise applications Enterprise applications that release like products, not projects. We run and modernise the platforms that move finance, supply chain, loyalty, claims, employee services, and customer journeys. Our focus is not just system uptime; it is clean releases, usable workflows, and a support model that improves the application estate rather than freezing it. What this service category is built to do. Most large enterprises now depend on a blend of packaged platforms and custom workflows. The failure mode is familiar: every application team optimises locally while change risk, backlog, and support debt accumulate globally. We organise around products and business journeys, joining application operations with release engineering, observability, and service experience so every platform can evolve without destabilising the business around it. Talk to a Run partner The run model blends application support, release automation, product ownership, and integration observability around the journeys the business actually cares about. Outcomes we manage to The run metrics clients hold us to. 14K+ SAP, Oracle, Salesforce, ServiceNow, and Workday specialists 31% faster release cadence after operating-model reset 96% change success rate on governed enterprise releases 22% reduction in support backlog age Core capabilities The workstreams inside the run model. Capability 01 ERP and finance operations Core finance, procurement, planning, and supply-chain platforms supported with release discipline and business continuity controls. Capability 02 Customer and commerce platforms CRM, service, loyalty, and commerce journeys run with integrated telemetry and product-aligned support squads. Capability 03 Employee and workflow systems HR, case management, and operational workflow platforms that need both reliability and fast policy change. Capability 04 Integration and release engineering API, middleware, data, and test automation capabilities that keep the estate coherent as platforms evolve. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Product-aligned squads Support, engineering, and business owners share one backlog and one release view for each major journey. Phase 02 Continuous verification Regression packs, synthetic tests, and rollout guardrails catch business-impacting change before users do. Phase 03 Value and license discipline Application run is tied to adoption, backlog health, and platform economics…"},{"u":"find-office.html","t":"Find an office","d":"Tata office locations across India, the Americas, Europe, Asia-Pacific, and the Middle East.","b":"Find an office A presence in 55 countries. Twelve of our largest hubs are listed below. Whether you want to drop by, ship a contract, or hire a team near you - this is where to start. Mumbai - Global HQ Tata House N. M. Marg, Apollo Bunder Mumbai 400001, India +91 22 6665 8282 Bengaluru Tata Park, Whitefield Main Road Whitefield, Bengaluru 560066 India +91 80 672 57000. Delhi NCR Tata Tower, DLF Cyber City Phase III Gurugram 122002 India +91 124 444 5555 New York 101 Park Avenue, 26th Floor New York, NY 10178 United States +1 212 555 0100 Toronto 199 Bay Street, 30th Floor Toronto, ON M5L 1G9 Canada +1 416 555 0150 Engineering Centre of Excellence London 17 Old Bailey London EC4M 7EG United Kingdom +44 20 7220 0800 Explore the London office Frankfurt Trianon, Mainzer Landstraße 16 60325 Frankfurt am Main Germany +49 69 2222 0700 Amsterdam Vinoly Building, Claude Debussylaan 80 1082 MD Amsterdam Netherlands +31 20 521 0500 Singapore Marina Bay Financial Centre, Tower 3 12 Marina Boulevard Singapore 018982 +65 6654 1550 Tokyo Marunouchi Building, 21F 2-4-1 Marunouchi, Chiyoda-ku Tokyo 100-6321, Japan +81 3 5222 0900 Sydney Tower One, International Towers 100 Barangaroo Avenue, Sydney NSW 2000 Australia +61 2 8224 0900 São Paulo Avenida Paulista, 1842 Bela Vista, São Paulo - SP Brazil 01310-200 +55 11 3000 0400 Not located in a region we list? Talk to us"},{"u":"index.html","t":"Tata Consulting Services, PLC - Building on belief","d":"Tata Consulting Services, PLC partners with the world's largest enterprises to design and run their digital transformation - across cloud, AI, cybersecurity, and operations.","b":"Featured story - Banking Reimagining the bank of tomorrow, today. We helped one of Europe's largest retail banks modernise 220 million customer accounts onto a cloud-native core in 18 months - cutting time-to-market for new products by 70%. Read the story Explore services Trusted by the FTSE 100 and the Fortune 500 Recognised by Leader Gartner Cloud Services Leader Forrester Wave: AI Services Top 10 Fortune World's Most Admired A CDP Climate Disclosure Best Top Employer Institute, EMEA Featured stories Outcomes our clients are most proud of. All stories Manufacturing A global automaker rebuilt its supplier network on real-time data. Forty plants, eighteen countries, one operating picture - and a 23% drop in unplanned downtime. Read story Public sector Modernising the citizen experience for a national health service. A single digital front door for 65 million people - with 40 legacy systems retired behind it. Read story Retail A 150-year-old retailer learned to ship a release every three minutes. From quarterly waterfalls to continuous delivery across 1,800 stores - without skipping a single weekend. Read story What we do End-to-end services for the enterprise of the future. Explore all services Cloud transformation 01 AI & data 02 Cybersecurity 03 Engineering & R&D 04 Strategy & consulting 05 Enterprise applications 06 Business operations 07 Sustainability 08 London - Engineering Centre of Excellence Where we build Internal Developer Platforms. Our London studio specialises in next-generation IDPs. We pair rigorous system architecture with a deep passion for Developer Experience - bridging complex cloud, cloud-native, IoT, DevOps, AI, and automation estates (Kubernetes, serverless, and the wider cloud native stack) with the workflows engineers actually want to use every day. Members of the team are spend time contributing to the open source projects that comprise the Tata Internal Developer Platform - used by Tata engineers internally and packaged for clients of strategic engagements. About the IDP Explore the London studio \" We don't deliver projects - we partner for decades. Five out of every ten clients have worked with us for more than 25 years. Priya Iyer - Chief Operating Officer 615K+ Consultants in 55 countries £23B Annual revenue, FY25 1,200+ Active enterprise clients 56 Years building on belief Industries Deep expertise, where it matters most. All industries Banking & financial services Modernising the core. Re-imagining the front line.…"},{"u":"industries.html","t":"Industries","d":"Tata brings deep industry knowledge to banking, insurance, manufacturing, retail, healthcare, public services, communications, and energy.","b":"Industries The deepest industry benches in the business. Every industry runs on its own rules - regulatory, operational, cultural. We bring teams that have lived inside the industry, not just studied it. Below: where we go deepest. Sector lead - Marcus Hale Banking & financial services Core modernisation, payments, capital markets, and digital onboarding for 9 of the world's 10 largest banks. Talk to banking Sector lead - Helena Bauer Insurance Policy administration, claims automation, AI-driven underwriting, and customer experience for top-25 carriers globally. Talk to insurance Sector lead - Kenji Sato Manufacturing Smart factory, connected products, PLM, and supply chain resilience for automotive, aerospace, and industrial OEMs. Talk to manufacturing Sector lead - Lara Schmidt Retail & consumer products Unified commerce, AI-driven merchandising, supply chain visibility, and direct-to-consumer platforms. Talk to retail Sector lead - Dr. Naila Rahman Healthcare & life sciences Care delivery platforms, real-world evidence, drug discovery, and connected clinical trials - across providers, payers, and pharma. Talk to healthcare Sector lead - James Whitfield Public services Digital identity, tax modernisation, citizen platforms, and defence systems for federal, state, and supra-national agencies. Talk to public sector Sector lead - Ravi Subramanian Communications & media 5G core, BSS/OSS modernisation, OTT platforms, and content delivery - for the world's largest telcos and broadcasters. Talk to comms Sector lead - Elena Cortes Energy & utilities Renewables integration, grid edge intelligence, customer platforms, and asset performance management for utilities and oil & gas majors. Talk to energy Sector lead - Sara Olafsson Travel, transportation & hospitality Loyalty, distribution, operations, and customer experience for airlines, hospitality groups, and logistics providers. Talk to travel \" You cannot consult your way into knowing an industry. You have to live there. We have - for half a century. Anand Krishnan - Chief Executive Officer 9 of 10 Of the world's largest banks are clients 14 Industry vertical practices $2T+ Of insurance premiums processed annually on our platforms 40+ National government clients Tell us about your industry. We've probably been there. Start a conversation"},{"u":"insights.html","t":"Insights","d":"Research, perspectives, and points of view from Tata practitioners across AI, cloud, cybersecurity, industry, and the future of work.","b":"Insights Research and perspectives from the front line. Our researchers and practitioners publish what they're learning from the engagements we actually run. No hot takes; just patterns that hold up after the second client. Featured Reports, briefings, and points of view. Subscribe to our newsletter Annual study - 1,200 CEOs The AI Premium: where leaders are seeing returns, and where they aren't. Our 12th annual CEO study tracks how AI value is concentrating - and what separates the 14% pulling away. Read Perspective Beyond the pilot: what it actually takes to put GenAI into production. A field guide drawn from 340 enterprise GenAI deployments - what worked, what stalled, what we learned. Read Point of view The next operating model: small teams, large autonomy, AI in the loop. A framework for re-organising IT and operations around outcomes - not towers, not tickets, not handoffs. Read Research note The cloud bill came due. Now what? Why 62% of enterprises are returning to disciplined unit-economics conversations - and the playbook that's working. Read Industry brief - Banking Core modernisation in 24 months: a comparison of four playbooks. Strangler, big-bang, sidecar, greenfield - the trade-offs that determine which approach actually finishes. Read Industry brief - Retail Unified commerce: the data plumbing nobody warned you about. Why retail platforms break in the integration layer first - and the patterns that hold up under Black Friday. Read Workforce study What 8,400 frontline workers told us about AI augmentation. The largest survey of its kind reveals a surprising consensus on where AI helps - and where it gets in the way. Read ESG & sustainability Scope 3 reporting: the data engineering challenge nobody is talking about. Most carbon disclosure tools assume data you don't have. Here's how four clients built the pipeline that actually works. Read Cybersecurity Zero trust is a posture, not a product. Five enterprises explain why. Architecture, identity, segmentation, telemetry, and culture - the five layers that actually have to move together. Read \" We won't publish a finding until we've seen it work - or fail - at three clients. That's a slow rhythm. It's also why people keep reading us. David Okonkwo - Global Head, AI & Data Have a question we should be researching? Suggest a topic"},{"u":"investors.html","t":"Investors","d":"Financial performance, reports, filings, and investor relations for Tata Consulting Services, PLC.","b":"Investors A durable business, built to compound. Long-running client relationships, a global delivery model that's hard to replicate, and a balance sheet that funds growth from operating cash flow - not financing. Latest results - FY25 Headlines from our most recent fiscal year. $29.1B FY25 revenue +8.4% YoY in constant currency 24.6% Operating margin Sustained Tier-1 IT services band $42.7B Net new TCV signed Across 1,200+ active enterprise relationships 112% Cash conversion Free cash flow / net income, trailing twelve months Reports & filings For your due diligence shelf. Request investor pack Annual report 2025 PDF - 14.2 MB Q4 FY25 earnings transcript PDF - 1.1 MB Sustainability report 2025 PDF - 8.6 MB Proxy statement 2025 PDF - 2.3 MB Corporate governance Code of conduct & bylaws Historical financials 10-year ledger Talk to IR Direct line to the team. For analyst inquiries, shareholder questions, or scheduled briefings, reach our investor relations team directly. ir@tata-consulting.co.uk"},{"u":"leadership.html","t":"Leadership","d":"Meet the operating committee of Tata Consulting Services, PLC - twelve practitioners who lead one of the world's largest professional services firms.","b":"Leadership The people who run Tata. An operating committee of practitioners. Most of our leaders spent decades inside the disciplines they now oversee - building, delivering, and learning the hard way before stepping into leadership. Operating committee Twelve leaders, one P&L. AK Anand Krishnan Chief Executive Officer & Managing Director PI Priya Iyer Chief Operating Officer MH Marcus Hale President, Banking & Financial Services YT Yuki Tanaka Chief Technology Officer SR Sofia Reyes President, Europe RM Rohan Mehta Chief Financial Officer AP Aisha Patel Chief Human Resources Officer DO David Okonkwo Global Head, AI & Data HB Helena Bauer President, Insurance KS Kenji Sato President, Manufacturing LS Lara Schmidt President, Retail & Consumer Products NR Naila Rahman President, Healthcare & Life Sciences \" The role of leadership here is to make the next generation of leaders look obvious in hindsight. Anand Krishnan - Chief Executive Officer Want to meet the team? Get in touch"},{"u":"managed-services.html","t":"Managed services","d":"Outcome-led managed services spanning reliability engineering, observability, service operations, and run-cost optimisation.","b":"Run / Managed services Managed services that make reliability feel routine. We take accountability for hybrid estates, service operations, observability, and resilience for clients that cannot afford drama in production. The model is outcome-led: fewer incidents, faster recovery, sharper run economics, and a technology estate that gets better while it runs. What this service category is built to do. Our managed services teams combine platform engineering, site reliability, service management, and operational analytics in the same run model. That matters because most client pain does not sit neatly inside a single tower anymore. We typically begin with a ninety-day stabilisation plan, then move into automation, resilience engineering, and commercial baselining so the operating model keeps compounding instead of settling into reactive support. Talk to a Run partner A typical managed-services operating model joins observability, command, automation, and service experience into one accountable run spine. Outcomes we manage to The run metrics clients hold us to. 99.98% critical-service availability across run towers 36% lower incident volume in year one 24x7 follow-the-sun command coverage 43% L1/L2 automation after stabilisation Core capabilities The workstreams inside the run model. Capability 01 Integrated command centre A single operational picture across infrastructure, applications, cloud, service demand, and business-impact signals. Capability 02 Reliability engineering SLOs, error budgets, resilience rehearsals, recovery design, and the engineering discipline to reduce recurring failure. Capability 03 AIOps and automation Signal correlation, self-healing, change-risk controls, and runbook automation that reduce toil instead of shifting it. Capability 04 Service experience Multilingual service desk, executive reporting, and clear user-facing communications when issues do happen. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Stabilise fast We establish a run baseline, map service criticality, and remove the biggest sources of repeat failure within the first ninety days. Phase 02 Instrument everything Golden signals, dependency maps, and business-service views make incident prioritisation and change approval materially better. Phase 03 Improve the run every quarter Each QBR tracks automation yield, resilience posture, run-cost takeout, and the next backlog of engineering improvements. Where it shows up Case…"},{"u":"network-infrastructure.html","t":"Network & infrastructure","d":"Modernise and run hybrid infrastructure, workplace, network, edge, and resilience foundations for critical enterprises.","b":"Run / Network & infrastructure Networks and infrastructure built for resilience, not just reach. We design, run, and optimise the hybrid foundations that everything else depends on: cloud landing zones, data centres, workplace, wide-area networks, industrial edge, and the observability needed to keep them healthy under real load. What this service category is built to do. Infrastructure programmes often over-focus on migration while under-investing in the discipline required to operate the target state. That is why costs creep, visibility fragments, and incidents still take too long to isolate even after the platform 'modernises'. Our model brings architecture, reliability, and day-two operations together from the start, so every transformation includes the tooling, standards, and operating rhythm required to keep the estate stable at scale. Talk to a Run partner Our infrastructure model connects landing zones, workplace, edge, and network telemetry into one resilient operating baseline instead of four separate support towers. Outcomes we manage to The run metrics clients hold us to. 4.8M managed endpoints, devices, and edge nodes 41% faster incident isolation on modernised estates 92% policy compliance on governed infrastructure baselines 30% lower WAN and hosting spend after optimisation Core capabilities The workstreams inside the run model. Capability 01 Hybrid cloud foundations Landing zones, identity, policy, observability, and cost controls that make cloud estates operable at enterprise scale. Capability 02 Network transformation Campus, branch, SD-WAN, core, and telco-grade network modernisation tied to clear resilience and performance outcomes. Capability 03 Digital workplace Endpoint, collaboration, field, and workplace services designed around user productivity and support quality. Capability 04 Edge and cyber-resilient infrastructure Industrial sites, grid edges, telco stacks, and critical environments that demand local survivability and central visibility. How we operate A disciplined rhythm from stabilisation to continuous improvement. Phase 01 Design for day-two operations We define supportability, observability, and failover patterns before the first migration or rollout begins. Phase 02 Automate provisioning and policy Golden paths, zero-touch deployment, and compliance controls reduce configuration drift and ticket demand. Phase 03 Rehearse resilience Major incident drills, capacity stress, and regional failover tests become a standing…"},{"u":"newsroom.html","t":"Newsroom","d":"Press releases, announcements, awards, and media resources from Tata Consulting Services, PLC.","b":"Newsroom Announcements, releases, and recognitions. Where we share the things we're saying publicly - results, partnerships, awards, and the occasional point of view we feel strongly enough to put a name on. Recent Latest announcements. Archive May 14, 2026 - Press release Tata expands European delivery footprint with new Madrid campus. Three thousand engineers, designers, and consultants will be based in the new center by 2028. Read release Apr 28, 2026 - Press release Q4 FY25 results: revenue up 8.4% YoY, margin holds at 24.6%. Annual revenue crosses £23B; record TCV bookings driven by AI and cloud engagements. Read release Apr 02, 2026 - Announcement Tata joins UN Climate Action Compact. Commits to net-zero across owned operations by 2030, full supply chain by 2040. Read release Mar 18, 2026 - Press release Strategic alliance with a leading hyperscaler expands managed AI services. Joint go-to-market across financial services, manufacturing, and healthcare. Read release Feb 24, 2026 - Award Recognised as a Leader in the 2026 Cloud Services Magic Quadrant. Sixth consecutive year in the Leaders quadrant. Read release Jan 30, 2026 - Press release Tata to acquire a specialist healthcare data engineering firm. Strengthens life sciences delivery in North America and Europe. Read release Media inquiries Working on a story? For journalist or analyst inquiries, briefings, or interview requests, our global communications team responds within one business day. press@tata-consulting.co.uk"},{"u":"partners.html","t":"Partners","d":"Hyperscale alliances, strategic alliances, technology partners, the Tata Ventures network, and academic partnerships.","b":"Partners Strong on our own. Stronger together. We bring 615,000 people. Our partners bring the platforms, the products, the science, and the standards. Clients get the union of both - not the seams. Hyperscale alliance Cloud platforms Co-engineering, joint go-to-market, and shared customer success across the three largest public-cloud providers. Explore partnership Strategic alliance Core enterprise software Deep delivery practices around SAP, Oracle, Microsoft, Salesforce, ServiceNow, and Workday - implementation, migration, and managed run. Explore partnership Technology partner Data & AI Joint capabilities with Databricks, Snowflake, Confluent, and the leading model providers - to put AI into production, not pilots. Explore partnership Innovation network Startups & ventures Tata Ventures invests in and co-builds with 80+ enterprise startups. We bring them into client engagements when their tech is ready. Explore partnership Academic partnership Research & talent Joint research centers with 30+ universities globally. Sponsored chairs, applied research, and a steady pipeline of graduate hires. Explore partnership Industry consortia Standards & advocacy Active participation in cloud, AI safety, cybersecurity, and sustainability standards bodies - shaping the rules of the road. Explore partnership \" Partnerships aren't a logo wall. They're a way of jointly being accountable for an outcome - which is harder, slower, and almost always worth it. Yuki Tanaka - Chief Technology Officer Become a Tata partner. Start the conversation"},{"u":"privacy.html","t":"Privacy notice","d":"How Tata collects, uses, shares, and safeguards personal information.","b":"Legal Privacy notice. This notice describes how Tata Consulting Services, PLC collects, uses, shares, and safeguards personal information when you visit our websites, contact us, or use services we provide. Last updated: 27 May 2026. Information we collect We collect information you give us directly - such as your name, work email, employer, and the contents of any message you send via a contact form. We collect technical information automatically, including IP address, device and browser identifiers, and pages viewed. We do not collect special-category data (health, biometric, political opinion, etc.) through this site. How we use it To respond to your inquiries and route them to the right team. To send you information you have requested (e.g., newsletters or reports). 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Contact Tata Consulting Services, PLC - Data Privacy Office. Email: privacy@tata-consulting.co.uk ."},{"u":"services.html","t":"What we do","d":"From cloud and AI to cybersecurity, engineering, and managed operations - explore the full set of services Tata delivers to the world's largest enterprises.","b":"What we do The full stack of services. One accountable partner. Twelve disciplines, one operating model. We build, run, and transform the enterprise systems that the largest organisations in the world depend on - delivered as a single, integrated practice. Build Engineering the systems of record - and the systems of intelligence. 01 / Build Cloud transformation Migrate, re-platform, and modernise on AWS, Azure, and Google Cloud. We have moved more than 18,000 enterprise workloads to public cloud since 2018 - and run most of them after we moved them. Talk to a cloud lead 02 / Build AI & data Data platforms, MLOps, and applied generative AI - delivered into production, not parked in pilots. Three out of four engagements include a measurable P&L commitment. See AI in production 03 / Build Cybersecurity Zero-trust architectures, identity modernisation, 24x7 SOC operations, and breach response - protecting trillions of dollars of assets across regulated industries. Assess your posture 04 / Build Engineering & R&D Embedded software, connected products, simulation, and digital twin work for automotive, aerospace, medtech, and industrial OEMs. 78 R&D centres globally. Co-engineer with us Run The boring discipline of running mission-critical systems beautifully. Managed services 05 Enterprise applications 06 Network & infrastructure 07 Business operations 08 Transform Reshaping the operating model, not just the tech stack. 09 / Transform Strategy & consulting Where to play, how to win, and - most importantly - how to actually get the organisation there. Strategy that comes with the team to deliver it. Start with strategy 10 / Transform Experience design Research, design, and product engineering for customer and employee experiences that move the needle on retention, satisfaction, and lifetime value. See our design work 11 / Transform Sustainability From Scope 3 measurement and circular supply chains to grid-edge optimisation for utilities. Sustainability that's bookable as line items, not press releases. Build a roadmap 12 / Transform Industry platforms Pre-built, configurable platforms for banking core, claims, manufacturing operations, and citizen services - cutting time-to-value from years to months. Browse platforms Bring us the problem you can't get past. Start a conversation"},{"u":"sustainability.html","t":"Sustainability","d":"Tata's commitments and progress on climate, people, and governance - reported quarterly and audited externally.","b":"Sustainability A better tomorrow, built deliberately. We've made specific, dated commitments across planet, people, and governance. They're measured, reported externally, and reviewed by the board every quarter. Where we're focused Three pillars. Twenty-six commitments. One number we report against every quarter. Planet Net-zero across owned operations by 2030. Renewable electricity in all owned facilities by 2027; full Scope 3 reporting by 2028; net-zero across the supply chain by 2040. People Equal opportunity by design. 45% women across global workforce by 2030; pay equity audited annually; mental health resources in all countries we operate. Governance Trust as an operating discipline. Independent board majority; third-party ethics audits annually; supplier code of conduct enforced through procurement. Progress so far Numbers we're held to. 47% Reduction in Scope 1 + 2 emissions since 2018 100% Renewable electricity across owned operations by 2027 39.5% Women in workforce; 38% in middle management $2.4K Per-employee annual learning budget, all geographies Reports & disclosures Read the detail. Subscribe to ESG updates Sustainability report 2025 PDF - 8.6 MB CDP climate disclosure PDF - 3.1 MB SASB framework alignment PDF - 1.8 MB Partner with us on what's next. Talk to the ESG team"},{"u":"terms.html","t":"Terms of use","d":"Terms governing your use of the Tata Consulting Services, PLC website.","b":"Legal Terms of use. These terms govern your use of this website. By using the site you agree to them; if you do not, please stop using the site. Last updated: 27 May 2026. Use of materials Content on this site is provided for general information. You may view, download, and print pages for your personal, non-commercial use, provided that you do not modify the content and that you retain all copyright and other proprietary notices. Intellectual property All trademarks, service marks, logos, and trade names used on this site are the property of Tata Consulting Services, PLC or their respective owners. Nothing on the site grants any license or right to use any such mark. No warranty The site is provided on an \"as-is\" and \"as-available\" basis. To the fullest extent permitted by applicable law, Tata disclaims all warranties, express or implied, including warranties of merchantability, fitness for a particular purpose, and non-infringement. Limitation of liability To the fullest extent permitted by law, Tata will not be liable for any indirect, incidental, special, consequential, or punitive damages, including lost profits, arising out of or related to your use of the site. Governing law These terms are governed by the laws of England and Wales, without regard to conflict-of-laws principles. Any dispute will be brought in the courts of London, England. Contact Questions about these terms? Email legal@tata-consulting.co.uk ."},{"u":"vendors.html","t":"Vendors & suppliers","d":"How to register, onboard, and work with Tata procurement as a supplier or vendor.","b":"Vendors & suppliers Working with Tata procurement. We work with thousands of suppliers globally, from hyperscalers to local hospitality vendors. This is how to register, get paid, and stay compliant. Onboarding Four steps to becoming an approved Tata supplier. Register interest Step 01 Due diligence Step 02 Master agreement Step 03 Activate & invoice Step 04 Policies & standards What we expect from suppliers. Code of conduct Human rights, labor practices, anti-bribery, and environmental responsibility. Information security Baseline controls aligned to ISO 27001 / SOC 2; elevated controls for processors of client data. Sustainability Scope 1, 2, and material Scope 3 reporting for suppliers above $1M annual spend. Procurement team Talk to a buyer. For questions on category strategy, RFP timing, payment terms, or onboarding status, reach the regional procurement team. procurement@tata-consulting.co.uk"}] diff --git a/site/sitemap.xml b/site/sitemap.xml index b488f43..910ffb3 100644 --- a/site/sitemap.xml +++ b/site/sitemap.xml @@ -32,6 +32,30 @@ https://www.tata-consulting.co.uk/business-operations.html 2026-07-16 + + https://www.tata-consulting.co.uk/career-ai-ml-engineer.html + 2026-07-16 + + + https://www.tata-consulting.co.uk/career-cybersecurity-consultant.html + 2026-07-16 + + + https://www.tata-consulting.co.uk/career-data-engineer.html + 2026-07-16 + + + https://www.tata-consulting.co.uk/career-product-designer.html + 2026-07-16 + + + https://www.tata-consulting.co.uk/career-sap-s4hana-architect.html + 2026-07-16 + + + https://www.tata-consulting.co.uk/career-software-engineer-cloud-platforms.html + 2026-07-16 + https://www.tata-consulting.co.uk/careers.html 2026-07-16