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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. Your 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.
Job Responsibility:
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 (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.)
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
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
Adopt the Beazley culture of being bold, striving for better and do the right thing
Comply with Beazley procedures, policies and regulations including the code of conduct which incorporates the PRA and FCA Conduct Rules
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
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
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
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 orientated
Problem solving skills
Collaborative team player
What we offer:
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