AI Product Delivery Lead

Financial Conduct Authority

. Partner with the Business Product Owner and users to define or confirm problems, workflows, users, expected value, success measures, constraints and risk tiers .

Posted 9/29/2026full-timeLondon • United KingdomSenior💰 £60,700 - £99,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI, data, and automation product delivery, focusing on stakeholder alignment, operational integration, and evidence-based decision-making. Proven ability to drive adoption and measurable outcomes in regulated environments while maintaining effective governance and continuous improvement.

Highest-signal resume keywords

AI Product DeliveryStakeholder AlignmentEvidence-Based Decision-MakingBacklog ManagementOperational Readiness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementWorkflow IntegrationPrioritisationScope ControlDependency TrackingUser ResearchService DesignOperational ChangeTechnical LiteracyDelivery Telemetry

Soft Skills

CollaborationCommunicationProblem-SolvingLeadership

Industry Keywords

Regulated IndustriesFinancial ServicesGovernmentComplex CaseworkAI SystemsDecision-SupportWorkflow Automation

About the role

Key responsibilities & impact

Partner with the Business Product Owner and users to define or confirm problems, workflows, users, expected value, success measures, constraints and risk tiers
Shape and manage the roadmap, backlog, discovery, prioritisation, sequencing, dependencies, release planning and delivery cadence
Coordinate the pod, suppliers, control functions and business stakeholders through launch and stabilisation
Manage blockers, risks and enterprise dependencies
Ensure sustainable ownership, maintainable assets and effective knowledge transfer
Define requirements for workflow integration, human decision roles, evidence, provenance, evaluation, support and service operation
Define operating boundaries for agentic products, including autonomy levels, approved tools, data usage, human oversight and escalation pathways
Ensure the Business Product Owner maintains the adoption and change plan
Assemble product-readiness evidence and coordinate go-live and post-launch stabilisation
Track product outcomes, adoption, quality, cost and operational performance
Drive continuous improvement using evaluation findings and user feedback
Maintain traceability of decisions, assumptions, approvals and lessons learned
Contribute reusable delivery practices across the AI Product Delivery Department

Requirements

What you’ll need

Experience delivering AI, data, automation or digital products from discovery or MVP into live operation
Experience coordinating multidisciplinary delivery involving business stakeholders, engineers and suppliers
Experience working in a regulated, controlled or otherwise highly accountable environment
Expertise in prioritisation, scope control and sequencing
Proven ability to make evidence-based decisions to stop, descale or redirect work where appropriate
Track record of embedding products into operational workflows, driving adoption, measurable benefits and sustained business outcomes
User research, service design and operational change experience
Experience leading delivery cadence, governance and stakeholder alignment across business, technology and control functions
Disciplined backlog management, dependency tracking and delivery telemetry
Technical literacy sufficient to challenge architecture, evaluation approaches and operational trade-offs
Product leadership focus rather than acting as the pod’s technical authority
Supplier and partner management experience
Strong evidence-led decision-making using operational metrics, evaluation results and user feedback
Particularly valuable: LLM, RAG, agentic, decision-support and workflow automation products beyond proof-of-concept stage
Particularly valuable: multi-step, tool-using AI systems with end-to-end evaluation
Particularly valuable: service transition, operational readiness and post-launch operations
Particularly valuable: financial services, regulated industries, government or complex casework experience

Benefits

Comp & perks

25 days annual leave plus bank holidays
Minimum 50% of working time in the office each month
Non-contributory pension (8–12% depending on age)
Life assurance at eight times your salary
Private healthcare with Bupa
Income protection
24/7 Employee Assistance
35 hours of paid volunteering annually
Flexible benefits scheme
Flexible working styles, including part-time and job sharing where applicable