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Manager​/Senior Manager - Data Management

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Capgemini
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 160000 GBP Yearly GBP 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

CAPGEMINI INVENTAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Join our Enterprise Data & Analytics (EDA) Financial Services team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI, moving beyond experimentation to embedding agentic systems, human‑AI workflows and data products into every aspect of how they operate, compete, and create value. We are looking for experienced Data & AI leaders who combine AI technical expertise and commercial acumen to shape enterprise‑wide transformation.

You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice.

YOUR ROLE

This role is for a programme leader with genuine technical depth - not a solution architect, and not a pure strategist. You will own complex, multi-workstream data and AI programmes for major Financial Services clients: the client relationship, the commercials, the delivery and the team. You will need enough hands‑on background to challenge an architecture decision credibly, and enough consulting judgement to hold a boardroom.

You will not be building the architecture yourself. You will work across retail and commercial banking, insurance and capital markets, on problems where the value is clear and the constraints are real - credit decisioning, underwriting, claims, KYC and AML operations, complaints handling and trade surveillance, alongside the data foundations underneath them. You will be expected to operate fluently within the regulatory environment that shapes AI delivery in Financial Services.

We Make AI Useful. You will own the commercial and value agenda - making sure the AI we build is worth building.

  • Acting as a trusted advisor to executive and C‑suite stakeholders, shaping AI strategy, investment cases and roadmaps, and being the person the client escalates to when the programme is under pressure
  • Owning the business case end to end: defining the value, agreeing the measurement approach with the client’s finance and risk functions, and being accountable for the benefits actually landing
  • Making the difficult trade‑off calls - build versus buy, platform choice, delivery sequencing, and where technical debt is acceptable and where it is not
We Make AI Usable

You will lead the human‑centred design of AI solutions around the needs of users and the way organisations operate.

  • Translating business and regulatory problems into AI‑enabled products, agentic workflows and intelligent decision platforms, with defined user needs, business outcomes and success metrics
  • Designing operating models that integrate people, AI agents and business processes - including role redesign, human‑in‑the‑loop controls, and the change strategy that makes adoption stick
  • Partnering with business, product and engineering leaders to embed AI into customer journeys, colleague experience and operational decision‑making at enterprise scale
We Make AI Reliable

You will set the technical direction and hold the delivery to account, without designing it yourself.

  • Directing the design of AI‑ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information,…
Position Requirements
10+ Years work experience
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