Product Owner - Insurance Analytics

Our Digital MGA client is targeting a doubling of the business over the next three years, supported by an ambitious AI portfolio being built in-house. We are now looking for a Product Owner to take responsibility for two of their most data-intensive product areas: the rating engines that price risk and the portfolio management tools that give underwriting leadership a real-time view of exposure, concentration and performance across the book. You will need to be as comfortable discussing a pricing factor, model output or data schema as you are prioritising a backlog or leading a sprint review. This is an exciting opportunity for future career development.

The opportunity

You will own the roadmap and backlog for:

• The shared rating and pricing engine, including product-specific rating logic, calibration, governance and version control
• Portfolio management tooling covering exposure aggregation, concentration risk, loss-ratio trends and other insights used to manage the overall book
• Data pipelines and analytics that turn underwriting questions into reliable, decision-ready information

This role sits at the intersection of underwriting, actuarial, data science and engineering. You will not be expected to build calibration curves or models yourself-but you will need to understand their outputs, ask informed questions and explain the implications of a pricing change to underwriting stakeholders.

What you’ll do

• Own and shape the product roadmap and backlog for rating engines and portfolio analytics
• Evaluate new ideas before committing development resources
• Write requirements and acceptance criteria that work for data pipelines, models and pricing logic-not simply user interfaces
• Translate underwriting leadership’s information needs into clear data and product requirements
• Review analytical outputs before they are released
• Work closely with underwriting, actuarial, data science and engineering to understand what is driving model or pricing changes
• Determine when a result requires formal data science or actuarial validation
• Sequence releases across regions and lines of business, progressing through to full automation
• Use measured accuracy, error rates and live evidence to guide rollout decisions
• Identify changes can be automated safely and which require greater control
• Use AI tools directly within your own work-for example, exploring data, querying rating-engine outputs, accelerating requirements gathering or drafting technical requirements
• Keep stakeholders and leadership informed with clear, credible updates about risks and uncertainty as well as progress

• Strong Product Owner or Product Manager experience for 3+ years following your Graduate level education (min 2:1), ideally involving a data-intensive, analytical or model-backed product
• Insurer or Digital MGA background ideal - data-focused Product role within Specialty or Commercial
• We would be particularly interested in candidates with experience of pricing engines, risk-scoring platforms, portfolio analytics or similarly complex systems within Insurance
• The confidence to read model outputs and ask sharp, informed questions, without necessarily being a data scientist yourself
• Strong agile delivery knowledge, combined with the judgement to adapt processes as needed
• A clear instinct for MVP scoping: what needs to ship now, what can wait and what requires further evidence
• Practical, hands-on fluency with AI tools as part of your own product workflow-not simply experience discussing AI on a roadmap
• Excellent stakeholder-management skills and the ability to communicate appropriately with underwriters, actuaries, data scientists, engineers and senior leadership
• Keen to work remotely from the UK, and living within easy access of London for occasional team collaboration

This is a high-impact opportunity for someone who enjoys owning genuinely complex products, making evidence-led decisions and working close to the logic and data that drive a commercial insurance business. If your idea of product ownership goes deeper than features and screens-and you want to influence how risk is priced, understood and managed-we would be very interested in speaking with you.