Senior AI Data Architect — Enterprise (Hybrid)

Tata Consultancy Services; Swindon; Hybrid; GBP 110,000 - 140,000; Full time

Benefits offered by this job

Pension

Health care

Job summary

Tata Consultancy Services UKI is seeking an Enterprise Data Architect to lead definition and execution of enterprise-scale data and AI architectures for financial services clients. You will work with CIOs, CTOs, and data leaders to drive transformation across data platforms, analytics, and AI-enabled services.

Responsibilities include setting AI data roadmaps, designing scalable cloud/hybrid/on‑prem data solutions, and establishing governance, risk controls, and regulatory compliance.

Qualifications

• Proven experience in AI data programmes, preferably BFSI.
• Strong data architecture knowledge: data lakes, lakehouse, data warehouses, streaming.
• Hands-on with AI/ML/GenAI architectures and MLOps.
• Experience designing solutions on cloud platforms (AWS/Azure/GCP).
• Security, privacy, risk considerations in BFSI contexts.
• Solid SDLC and agile governance understanding.

Responsibilities

• Define and own enterprise AI Data architecture vision and roadmap.
• Design scalable data platforms across cloud, hybrid, and on‑premise.
• Lead architecture for analytics, ML, GenAI, and MLOps.
• Establish AI governance, data management, and risk controls.
• Translate business outcomes into architecture patterns and standards.
• Advise CxO stakeholders on AI Data transformation decisions.
• Evaluate platforms, tools, and technologies across data engineering and AI.
• Produce high‑quality architecture artefacts and blueprints.
• Support platform modernization, cloud migration, and AI adoption programs.

Skills

Enterprise data architecture

AI data platforms

Cloud architectures

Regulatory compliance

Stakeholder management

Leadership

Communication at exec level

Tools

AWS

Azure

GCP

Job description

Tata Consultancy Services UKI is seeking an Enterprise Data Architect to lead definition and execution of enterprise-scale data and AI architectures for financial services clients. You will work with CIOs, CTOs, and data leaders to drive transformation across data platforms, analytics, and AI-enabled services.

Responsibilities include setting AI data roadmaps, designing scalable cloud/hybrid/on‑prem data solutions, and establishing governance, risk controls, and regulatory compliance.