At a Glance
- Tasks: Own and manage data products, ensuring they meet business needs across various teams.
- Company: Join a leading firm in the financial services sector with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to multiple divisions and a chance to shape data strategy.
- Why this job: Be the bridge between tech and business, making a real impact on data-driven decisions.
- Qualifications: 3-5 years in product ownership or data analysis, with strong communication skills.
The predicted salary is between 60000 - 75000 £ per year.
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.
- Aware 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.
We think you need these skills to ace Data Product owner
Data Product Ownership
Backlog Management
Stakeholder Management
Communication Skills
Technical Literacy
SQL
Data Quality Monitoring
