AI Transformation and Operating Model Lead

Location: Greater London

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 ManagerAI Governance Lead Prompt Engineer AI Risk Manager Model Performance OwnerAI Operations LeadAI Change ManagerAI Governance, Risk & Compliance Design governance frameworks supporting responsible AI adoption ine 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…