AI Product Owner

• Define and communicate the vision, goals, and roadmap for AI products
• Align AI initiatives with business strategy and regulatory compliance
• Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
• Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
• Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
• Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
• Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
• Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes
• Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
• Manage seamless AI product integration into Value streams and Change initiatives
• Ensure adherence to responsible AI principles, data privacy, and regulatory standards
• Integrate governance standards for data quality, cataloguing, stewardship, lifecycle management, security, etc
• Support model explainability, bias detection, and audit readiness
• Ensure fit-for-purpose non-functional requirements (performance, resilience, observability, etc.)
• Build trusted relationships with AI / Data team and business stakeholders, to prioritize demand and measure business value
• Ensure clear RACI and handoffs across build/run between internal and partner teams
• Collaborate with Product Managers to embed AI capabilities into broader product strategies
• Work closely with Data Scientists, ML Engineers, and MLOps teams to ensure technical feasibility and scalability
• Act as the primary liaison between business stakeholders and AI team
• Educate stakeholders on AI capabilities, limitations, and ethical considerations
• Gather requirements, validate assumptions, and ensure stakeholder alignment
• Foster a culture of continuous improvement and innovation within your stakeholders

• Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
• Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
• Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
• Strong understanding of data management principles, data governance, and analytics
• Experience in Agile product development and backlog management
• Degree in Data Science, Computer Science, Business Analytics, or related field
• advanced degree desirable
• Demonstrable experience of AI product delivery / ownership within insurance or financial services
• Strong understanding of AI/ML concepts, model lifecycle, and MLOps
• Knowledge of ethical AI principles and regulatory frameworks
• Experience applying AI & automation to enhance and support data product strategy and delivery in insurance
• Experience in machine learning and data analysis, including GenAI and Agentic frameworks
• Experience with cloud platforms, API driven architecture, and modern data platforms including MLOps
• Proven ability to manage AI driven product initiatives, and detailed understanding of how AI creates business value and drives new ways of working / decision making
• Strong understanding of data management principles, data governance, and analytics
• Experience in Agile product development and backlog management
• Familiarity with insurance industry data (policy, customer, regulatory) preferred
• Ability to translate business needs into technical requirements and vice versa
• Delivery excellence: structured, outcomes-focused, able to unblock and drive pace
• Stakeholder influence: credible with business and technical teams
• clear communicator
• Analytical & strategic: frames value/benefits
• ties delivery to business outcomes and strategy

Familiarity with insurance industry data (policy, customer, regulatory) preferred

• Attractive base compensation and discretionary performance related annual bonus
• Private medical insurance coverage for both you and your dependents
• Company paid life assurance and long term disability insurance
• Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
• 25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval. Additional annual leave purchase is also available up to a maximum of five additional days per year
• Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
• Up to £550 reimbursement towards home office setup
• Free in-office lunch and monthly lifestyle allowance
• Monthly travel allowance or annual season ticket
• The opportunity to save for, and purchase, shares of Beazley stock
• Six months fully paid parental leave, regardless of how you come to parenthood
• Company paid sabbatical up to 12 weeks after 10 years of continued service
• Support with exam/study leave and fees for relevant qualifications related to furthering education
• Smart working policy and flexible working culture