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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Transformation and Operating Model Lead - **Company:** Capgemini - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Fraud Prevention and Detection, Machine Learning, Scrum Methodology, Software Product Management, Productivity Software, AI-enabled Products, Software Deployment, Model Validation, Generative AI, Agentic-AI - **Published:** October 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=89033d30b66bbd7d ## About the Role * 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. ## Description 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.