Data Product Owner

Quick Facts

• Role: Data Product Owner for a portfolio of data outputs
• Focus: Regulatory reporting, financial and business reporting, and downstream analytics/AI use cases

Description

Own the roadmap and backlog of data products, translating finance, actuarial, and risk requirements into clear specifications and acceptance criteria. Define and evolve regulatory data sets as products with measurable quality, versioning, documentation, and end-to-end traceability from source systems to reports. Coordinate data delivery during migration to a new insurance system to ensure continuity and comparability of outputs.

Responsibilities

• Manage the data roadmap and backlog; set priorities by regulatory deadlines, risk, and business value
• Convert stakeholder needs into implementable requirements and acceptance criteria; continuously validate that outputs meet their intended purpose
• Define and develop regulatory data sets as products (indicators, versioning, quality controls, documentation, traceability)
• Coordinate the data part of migration to a new insurance system; maintain continuity and comparability of regulatory reporting
• Work with the Analytics Engineering Lead and Data Tech Lead to align on scope, feasibility, dependencies, and next steps (technical design/implementation handled by them)
• Coordinate related work with other Direct Group entities and external vendors; support audits by finding needed documentation

Requirements

• Experience owning a data or analytics product (or senior business/data analyst experience owning specific outputs)
• Ability to work with a backlog and set priorities based on value, risk, and deadlines
• Practical SQL skills; knowledge of data models, data quality, quality controls, and traceability
• Ability to discuss scope and feasibility with technical teams; understanding of modern data environments
• Ability to explain and defend priorities to management and subject-matter experts; translate diverse needs into buildable requirements
• English proficiency for running working meetings

Benefits

• Key contributor to migration efforts while maintaining continuity of outputs
• Close collaboration with finance, actuarial, risk, and data/technical teams
• Flexible working hours and home office; results-focused culture
• Unlimited vacation
• Informal environment with emphasis on authenticity and process improvements
• Support for learning and development
• Modern offices and a dog-friendly culture