Product Owner in Belsize Park

Beazley's data reflects the complexity of our business. We are committed to building a modern data culture that ensures data is reusable and integrated into our business products and services effectively.

In this role you will be responsible for defining, prioritizing, and delivering AI-driven solutions that create strategic business value. This role focuses on leveraging advanced analytics, machine learning, and generative AI to enhance decision‐making, improve customer experiences, and optimize operational efficiency. This role focuses on enabling the business to leverage AI to reimagine business processes and outcomes, and embedding new ways of working, insights, behaviours, and operational efficiency, while ensuring compliance with regulatory requirements.

You will own the vision and roadmap for AI products and foundational capabilities, ensuring alignment with business objectives, regulatory requirements, and ethical AI principles. You will work closely with Data Scientists, Engineers, Product Managers, and business stakeholders to deliver scalable solutions that are trusted, explainable, and impactful. The role requires close collaboration with the AI team, business stakeholders, data/change leadership and outsourced partners to drive innovation, and support decision-making through advanced analytics and AI.

Key Responsibilities

• AI Product Vision & Strategy
  • 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 AICoE 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.
• Value Realisation
  • Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives).
  • Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes (e.g., loss ratio improvement, leakage reduction, NB premium, campaign ROI uplift, cycle‐time reduction).
  • Maintain product‐level scorecards and dashboards tracking usage, quality, SLA performance, and business impact.
  • Manage seamless AI product integration into Value streams (martech/Claims, etc.) and Change initiatives (Modernisation, Underwriting Transformation, etc.).
• Governance & Responsible AI
  • 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.).
• Stakeholder Engagement & Ways of Working
  • 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; avoid duplication, ensure accountability.
  • 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.

General (Core Values)

• Adopt the Beazley culture of being bold, striving for better and doing the right thing. This contributes to an internal environment of teamwork and promotes a positive brand image and experience to all our external customers.
• Comply with Beazley procedures, policies and regulations including the code of conduct which incorporates the PRA and FCA Conduct Rules. Undertake training on Beazley policies and procedures as delivered by your line manager, Talent Management or assurance teams (compliance, risk, internal audit) either directly, via e‐learning or the learning management system.
• Display business ethics that uphold the interests of all our customers.
• Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs.
• Comply with any specific responsibilities necessary for your role as outlined by your line manager, Talent Management or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas.
• Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system.

Personal Specification

We're looking for candidates who are passionate about driving data products that will help Beazley innovate and unlock best‐in‐class approaches to Data and AI. Candidates should have a proven track record of delivering AI products and leading squads that enhance value delivery across a business. We are looking for someone who can lead and cultivate high performance AI delivery, and knows how to encourage performance, motivate peers to reimagine the art of the possible, and collaborate at all levels of an organisation.

The successful candidate should have a passion for data and a curious mindset both for Beazley and the wider insurance industry. Great communication skills across all levels of seniority and the ability to represent data internally and externally to our colleagues, and clients will also be important.

Essential Criteria

• 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.

Education

• Degree in Data Science, Computer Science, Business Analytics, or related field; advanced degree desirable.

Knowledge & Experience

• 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.
• Stakeholder influence, structured problem‐solving, commercial acumen, clear communication, and change leadership.
• 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.

Competencies

• Ability to define and drive AI product strategy aligned with business objectives.
• Experience in designing and operationalising AI policies, principles, and strategic frameworks.
• Strong understanding of insurance data domains, governance, architecture, analytics, and data platforms.
• Experience in influencing and aligning senior leaders across business and technology.
• Proven track record of leading high performing AI product teams.
• Strong commercial acumen with the ability to link AI product strategy to value creation in Insurance.
• Ability to extract information by questioning, listening and interviewing.
• Results oriented.
• Problem solving skills.
• Collaborative team player.

Don't meet all the requirements?

At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

The Rewards

• The opportunity to connect and build long‐lasting professional relationships while advancing your career with a growing, global organization.
• 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, trusting our employees to do what works best for them, their role and the needs of the business.
• We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non‐visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.