Senior Data Product Manager

Senior Data Product Manager, Prototyping & Innovation

We are currently recruiting for a Senior Data Product Manager with Broking experience to join one of our Insurance clients on a 6-month contract.

Inside IR35

Hybrid- 2 days a week onsite in London

Key responsibilities

• Work with business stakeholders and domain specialists to understand decisions, workflows, pain points, and opportunities that could be addressed through data products.
• Convert broad or ambiguous challenges into clear problem statements, target users, desired outcomes, hypotheses, and measurable product objectives.
• Assess product opportunities based on business value, user need, data readiness, technical feasibility, scalability, and alignment with the broader data-product portfolio.
• Identify when a request should become a reusable product and when a simpler analytical or process solution is more appropriate.
• Personally build working proofs of concept using tools such as SQL, Python, Databricks, Power BI, AI tooling, and appropriate low-code platforms.
• Explore and profile data to understand quality, coverage, structure, limitations, and suitability for the intended use case.
• Use prototypes to test product concepts with users, expose assumptions, and generate evidence before significant engineering investment.
• Work with data engineers, architects, analysts, and platform specialists to determine how successful prototypes should be industrialised.
• Ensure prototype work is appropriately transitioned into maintainable, governed, and scalable solutions rather than becoming unsupported production tooling.
• Own selected data products from discovery through prototype, development, launch, adoption, and improvement.
• Partner closely with engineering while retaining clear accountability for the problem, user outcome, and product value.

Experience

• 5-8+ years of relevant experience across data, analytics, technology, or digital products, including substantial ownership of data-enabled products or solutions.
• Strong evidence of solving ambiguous business problems and converting them into practical, evidence-based solutions.
• Hands-on ability to interrogate data and build working prototypes using several of SQL, Python, Databricks, Power BI, AI tooling, or low-code tools.
• Commercial insurance, insurance broking, specialty insurance, claims, placement, portfolio analytics, or underwriting experience.
• Experience with data mesh, domain-oriented data products, common data models, data contracts, metadata, and data governance.
• Experience industrialising analytical prototypes with data-engineering and architecture teams.
• Experience integrating generative AI or machine learning into business products.
• Familiarity with regulated environments and the responsible use of commercially sensitive data.

Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.