AI Transformation and Operating Model Lead

Job Title : AI Transformation & Operating Model Lead

Location : London

• About the Job you are considering:
• The AI Transformation & Operating Model Lead will serve as the organization's principal advisor on the strategic, operational, and workforce implications of Artificial Intelligence. This role will guide executive leadership through the transformation to an AI-enabled operating model, ensuring AI capabilities are embedded responsibly across product management, engineering, risk, governance, and business operations.

The successful candidate will combine deep expertise in AI adoption, product-led operating models, workforce transformation, organizational design, and regulatory governance to help shape how people, processes, and AI systems work together in a regulated financial services environment.

This role requires an experienced practitioner capable of advising senior executives, influencing enterprise-wide decisions, and defining future-state operating models aligned with regulatory and ethical AI principles.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

• Your Role:
• AI-Enabled Ways of Working

• •Define and promote AI-native ways of working across product, engineering, transformation, and change teams.
• •Develop frameworks and practical playbooks for AI-assisted product discovery, delivery management, roadmap planning, backlog optimization, and decision-making.
• •Identify opportunities where AI can reduce operational friction, enhance productivity, and improve business outcomes.
• •Assess existing delivery methodologies and redesign processes that are incompatible with AI-enabled execution.
• •Establish best practices for human-AI collaboration across the product lifecycle.

Operating Model Transformation

• •Advise on the integration of AI capabilities into the target operating model, governance structures, and product organization.
• •Define how AI products, agents, copilots, and intelligent automation capabilities fit within enterprise product taxonomies.
• •Shape future-state accountability frameworks covering human versus AI decision ownership.
• •Guide organizational design activities where AI capabilities alter traditional operating boundaries and responsibilities.
• •Support the implementation of AI-enabled product-led operating models and shared service structures.

AI Workforce & Skills Strategy

• •Design and implement enterprise AI capability frameworks across Product, Technology, Data, Risk, and Change functions.
• •Define AI competency requirements, behavioral expectations, and learning pathways for different job families.
• •Advise on how key roles such as Product Owner, Product Manager, Business Analyst, Delivery Manager, Scrum Master, Data Product Manager, and Engineering Manager evolve within an AI-native organization.
• •Partner with HR, Talent Development, and Learning & Development teams to embed AI upskilling initiatives.
• •Identify and define emerging specialist roles, including:
• •AI Product Manager
• •AI Governance Lead
• •Prompt Engineer
• •AI Risk Manager
• •Model Performance Owner
• •AI Operations Lead
• •AI Change Manager

AI Governance, Risk & Compliance

• •Design governance frameworks supporting responsible AI adoption at scale.
• •Define decision rights, accountability models, and escalation procedures for AI-enabled products and services.
• •Develop AI control frameworks covering:
• •Credit Decisioning
• •Lending
• •Fraud Prevention
• •Customer Communications
• •Agentic AI Solutions
• •Employee Productivity Tools

• •Partner with Risk, Legal, Compliance, and Audit functions to ensure AI deployment remains auditable and compliant.
• •Advise on AI regulatory obligations including:
• •FCA requirements
• •PRA expectations
• •EU AI Act
• •Model Risk Management principles
• •Responsible AI standards

Establish guardrails for ethical, transparent, explainable, and trustworthy AI adoption.

• Your Skills:
• Essential
• •12+ years of experience in large-scale business transformation, operating model design, or strategic consulting.
• •Demonstrable experience leading AI transformation initiatives within Financial Services, Banking, FinTech, Insurance, or regulated industries.
• •Strong understanding of Product Operating Models and Agile delivery frameworks.
• •Experience defining AI governance, risk, and compliance frameworks.
• •Proven track record advising C-Suite and Executive-level stakeholders.
• •Experience delivering workforce transformation, change management, and organizational redesign programmes.
• •Strong understanding of Generative AI, Machine Learning, Agentic AI, Intelligent Automation, and AI product capabilities.
• •Experience balancing innovation with regulatory and operational risk requirements.

Desirable

• •Experience working within UK banking, retail banking, wealth management, or lending institutions.
• •Familiarity with AI regulatory frameworks such as:
• •FCA Guidance
• •PRA Supervisory Expectations
• •EU AI Act
• •NIST AI Risk Management Framework
• •ISO 42001
• •Experience defining AI capabilities within Product-Led Organizations.
• •Consulting background from firms such as Accenture, Deloitte, PwC, EY, KPMG, McKinsey, Bain, or BCG.
• •Experience implementing AI Centres of Excellence or AI Operating Models .

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

• •Declare they have a disability, and
• •Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make It Real (what does it mean for you):

• •You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
• To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
• •You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
• •You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini:

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered