Senior Data Product Manager

Lorien; City Of London; Hybrid; GBP 111,000 - 166,000; Full time

Job summary

Lorien in London is seeking a Senior Data Product Manager specializing in prototyping and innovation for an Insurance client on a 6-month contract. The role is hybrid with two onsite days per week in London and requires strong data-product ownership and hands-on prototype development.

The ideal candidate has 5–8+ years of relevant experience, with expertise in SQL, Python, Databricks and Power BI, and familiarity with data governance and AI tooling.

Qualifications

• 5–8+ years of experience across data, analytics, technology, or digital products with ownership of data-enabled products
• Proven ability to translate ambiguous business problems into practical, evidence-based solutions
• Hands-on data interrogation and prototype development using SQL, Python, Databricks, Power BI, AI tooling or low-code tools
• Experience in commercial insurance, broking, specialty insurance, or underwriting domains
• Experience with data mesh, domain-oriented data products, data models, data contracts, metadata and 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 handling commercially sensitive data

Responsibilities

• Work with stakeholders to understand decisions, workflows, pain points, and opportunities for data products
• Convert broad challenges into clear problem statements, target users, outcomes, hypotheses, and measurable objectives
• Assess opportunities based on value, data readiness, feasibility, scalability, and governance
• Identify when a request should become a reusable product versus a simple analytical solution
• Build working proofs of concept using SQL, Python, Databricks, Power BI, AI tooling, and low-code platforms
• Explore and profile data for quality, coverage, structure, and suitability
• Use prototypes to test concepts with users and gather evidence before heavy engineering
• Collaborate with data engineers, architects, analysts to industrialise prototypes
• Ensure prototype work becomes maintainable, governed, scalable solutions
• Own data products from discovery through prototype, development, launch, adoption, and improvement
• Partner with engineering while owning problem, user outcome, and product value

Skills

Data product ownership

Prototyping

SQL

Python

Databricks

Power BI

AI tooling

Low-code

Tools

SQL

Python

Databricks

Power BI

AI tooling

Low-code platforms

Job description

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.