Data Product Owner

Salary: £65,000 - 70,000 per year

Requirements

• Bachelors degree in Business, Finance, Economics, Engineering, Computer Science, or a related discipline, or equivalent practical experience
• At least 2 years of experience in Product Ownership, Product Management, Business Analysis, or a related role within financial services or FinTech
• Ability to turn ambiguous needs into clear requirements, user stories, acceptance criteria, and prioritised backlogs
• Experience working with Agile engineering teams and tools such as Jira and Confluence, and confidence using SQL or similar analytical tools
• Knowledge of data products, metadata, identifiers, mastered data, data quality, and the lifecycle of data across systems
• Understanding of APIs, data models, integrations, and requirements for building reliable data services
• Comfort using AI-enabled tools to develop prototypes or demonstrations that support discovery and stakeholder decisions
• Strong analytical, communication, and stakeholder management skills, with a collaborative and customer-focused approach
• Knowledge of financial data workflows
• Experience working with data platforms, APIs, data models, or analytics products
• Exposure to AI-enabled products, machine learning applications, or modern data technologies
• Ability to translate strategic business objectives into practical product outcomes
• Experience working across global teams and managing multiple stakeholder groups
• Customer-centric mindset with a strong execution and delivery focus
• Demonstrated initiative, ownership, and continuous learning

Responsibilities

• Own and prioritise product backlogs, aligning delivery with product strategy, customer needs, and measurable business value
• Translate business and technical needs into clear epics, user stories, acceptance criteria, process flows, and non-functional requirements
• Partner with Product Managers and Engineering to shape roadmaps, sequence capabilities, manage dependencies, and maintain a delivery-ready backlog
• Lead backlog refinement, sprint planning, reviews, and user acceptance testing, ensuring delivered functionality meets agreed requirements and user outcomes
• Use AI-enabled tools to create prototypes and demonstrations that make ideas tangible, test assumptions, and accelerate decisions
• Define capabilities that make data and content easier to discover, understand, access, integrate, and reuse
• Gather requirements covering metadata, taxonomy, lineage, ownership, entitlements, search, onboarding, and data quality
• Define requirements for mastered data, including identifier design and lifecycle, validation, matching, mapping, hierarchies, and cross-references
• Use SQL or similar analytical tools to investigate datasets, validate requirements, and support product decisions
• Work across Product, Engineering, Data, Research, Operations, Commercial, and customer teams to understand workflows, resolve ambiguity, and drive alignment
• Communicate priorities, decisions, dependencies, risks, and progress clearly to technical and business audiences
• Use customer feedback, product performance, and delivery insights to prioritise improvements and measure value

Technologies:

• AI
• Confluence
• Support
• JIRA
• Machine Learning
• Product Owner
• SQL

More:

We are a leading global data and analytics provider offering an opportunity to join our dynamic Product Team as a Product Owner. In this role, you will play a key part in defining, prioritising, and delivering data and platform capabilities.

last updated 40 week of 2026