Senior Manager - Enterprise Data & Analytics (EDA) - Financial Services in Manchester

At 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 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. 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 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. Directing the design of AI‑ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions. Assuring agentic architectures - interrogating how agents interact with enterprise systems and people, where they fail, how failure is detected, and what the cost curve looks like at scale. Establishing the governance, security, responsible AI and operational practices required to run AI in production under regulatory scrutiny.

Role

As part of your role, you will be expected to contribute to the business and your own personal growth, through activities that form part of the following categories:

• Business Development - Leading proposals, RFPs, bids, proposition development, client pitches and thought leadership that positions the organization at the forefront of modern Data & AI consulting.
• Internal contribution - Supporting practice development through offering development, recruitment, campaign development, internal think‑tanks, whitepapers, operational excellence and capability building across Data, AI and Agentic AI.
• Learning & Development - Continuously developing your own expertise in emerging data and AI technologies and consulting leadership through training, certifications and applied innovation, while fostering a culture of continuous learning across the practice.

YOUR PROFILE

We are looking for a T‑shaped leader: broad enough to run an enterprise programme end to end, and deep enough in data and AI to be a genuine peer to the engineers and architects you lead. The essential criteria below are what we screen against, and we expect candidates to meet all of them.

Essential criteria

• Programme leadership at scale. You have led complex, multi-workstream data or AI programmes with teams, and have been personally accountable for the outcome.
• AI delivered into production, not just piloted. You can describe at least one AI or advanced analytics capability you took from concept into live operational use.
• Financial Services experience. Experience delivering for banking, insurance or capital markets clients, with a solid working understanding of how these businesses operate.
• Technical credibility. Sufficient hands‑on background in data engineering, data platforms, machine learning or Generative AI.
• Team leadership. Experience leading and coaching consultants, engineers or architects within your programme.
• Consulting and commercial track record. Experience in a consulting or senior client‑facing environment advising executive stakeholders.

Desirable experience

• Hands‑on delivery experience with one or more major cloud and data platforms.
• Experience designing semantic layers, data products or knowledge platforms.
• Experience shaping agentic architectures.
• Practical experience of responsible AI in production.
• Published thought leadership, conference speaking or a visible market profile in Data and AI.

WHAT YOU’LL LOVE ABOUT WORKING HERE? As a Senior Manager, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting‑edge projects that shape industries. Your leadership will make a tangible impact on clients’ digital transformations while advancing your own career in a collaborative and inspiring environment.

NEED TO KNOW

At Capgemini we don’t just believe in inclusion, we actively work to make it a reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work‑life balance. Employee wellbeing is vitally important to us as an organisation.

Capgemini Is Proud To Be a Disability Confident Employer (Level 2) Under The UK Government’s Disability Confident Scheme.

When you join Capgemini, you’ll join a team that does the right thing.