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
Only candidates based in UK and eligible to work in UK are allowed