Job Description
Data Product owner. Location: London. Discipline: Trading & Technology. Job type: Permanent. 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, escalate 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.
