Data Development & Enrichment Lead

Job Title: Data Development & Enrichment Lead

Location: Peterborough or Manchester (hybrid)

About the Role:

As a Data Development & Enrichment Lead, you will drive strategic use of enrichment data to support risk & retail pricing, lending decisions and acceptability. Sitting within the Analytics & Enrichment team, you support the development, maintenance and optimisation of the businesses data enrichment strategies across our insurance brands.

This role blends hands-on analytics with leadership, stakeholder engagement and innovation in insurance enrichment to solve business problems and add commercial value.

Key Responsibilities:

• Identify opportunities for value creation: Proactively seek new ways to harvest value from new and existing enrichment from both internal and external sources.
• Creation of enrichment evaluation pipelines: develop methodologies for the continued evaluation of new and existing strategies.
• Partner with stakeholders: Collaborate with internal and external teams to understand their enrichment needs and work with 3rd parties to understand market opportunities.
• Champion analytics and enrichment across the business: Provide analytical support to the business, informing decision making.
• Own and optimise enrichment scorecards for the use of lending: Ensure models and processes are continuously refined for maximum effectiveness.
• Solve complex business problems: Apply creative approaches to tackle challenges and unlock insights.
• Design and enhance monitoring tools: Lead the development and optimisation of monitoring tools which keep an eye on existing enrichment strategies.
• Champion data quality and governance: Uphold high standards of data integrity, compliance, and governance across all analytical initiatives.

About you:

• Proven experience in pricing, analytics, data science, or a related field, within UK personal lines insurance market.
• Strong academic background in a numerical discipline (eg BSc Mathematics, Economics, Computer Science, Data Science).
• Experience of proactively identifying and solving complex business problems using data and/or implementing data orientated change that has delivered significant and measurable commercial benefit.
• Advanced SQL skills with experience with Python and/or R.
• Excellent communication and storytelling skills, with the ability to influence senior stakeholders.
• Strong organisational and strategic thinking capabilities.

Desirable

• Experience with personal lines enrichment products including the use of credit bureau data.
• Exposure to A/B testing and optimisation techniques.
• Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research)
• Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric).