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