Data Product owner

Key Responsibilities:

Data Product Ownership

• Maintain a consolidated, group-wide view of data requirements across Analytics/Trading, Asset Management, the SEO platform, and any other relevant areas
• Own the data product backlog: intake, refinement, prioritisation, and progress tracking
• Develop and maintain a clear understanding of the capabilities of each data product being built, and how they can address problems across the group
• Define and maintain data product standards: schemas, naming conventions, quality criteria, and documentation

Stakeholder Management

• Act as the primary point of contact for non-technical stakeholders across all divisions requesting data support
• Translate business requirements from Commercial, Trading, Asset Management, and other teams into concrete, well-scoped data engineering tasks
• Communicate progress, priorities, and constraints clearly across technical and non-technical audiences

Data Quality & Governance

• Monitor data quality and coverage across production datasets
• Identify gaps, elevate issues, and coordinate remediation with the engineering team
• Drive consistent data definitions and documentation standards across the group

Architecture & Delivery

• Work with the Senior Data Engineer on architecture decisions and pipeline design, bringing the user requirements perspective
• Ensure data products are fit for purpose and meet the needs of downstream consumers across all divisions

Experience & Qualifications:

Essential Skills

• Demonstrated product ownership experience, ideally in a data or analytics context
• Ability to maintain and communicate a structured backlog across multiple concurrent workstreams
• Strong stakeholder management: able to gather, challenge, and refine requirements from non-technical teams across different parts of a business
• Clear written and verbal communication
• Sufficient technical literacy to engage credibly with data engineers: comfortable reading SQL and understanding pipeline concepts

Desirable

• Background in data science or data analysis
• Experience with data cataloguing, data governance, or data quality tooling
• Familiarity with energy, commodity markets, or financial services data
• Experience working across multiple divisions or business units in a cross-functional data role
• Awareness of dashboarding tools (Grafana, Power BI, or similar)

Profile

• 3–5 years’ experience in a product ownership, data analysis, or data product role
• Product instincts and a structured approach to translating business need into delivery
• Comfortable operating as the interface between non-technical stakeholders and a specialist engineering team
• Able to develop a holistic view of data capabilities across the group and apply them to problems from multiple divisions
• High ownership mindset and attention to output quality

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