Data Product Owner

A leading global data and analytics-provider has an exciting opportunity for a Product Owner-to join a dynamic Product Team and play a key role in defining, prioritizing, and delivering data and platform capabilities.

Key Responsibilities

• Product Ownership & Delivery 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 UAT, 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.- Data Product & Domain Expertise
• 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.-

Stakeholder Collaboration & Improvement

• 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.

Essential Experience

• Bachelor''s degree in Business, Finance, Economics, Engineering, Computer Science, or a related discipline, or equivalent practical experience.-
• 2+ years of experience in Product Ownership, Product Management, Business Analysis, or a related role within Financials Services or FinTech-
• Demonstrated 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, with 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 the requirements needed to build 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 combined with strong execution and delivery focus.-
• Demonstrated initiative, ownership, and continuous learning.-