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
Salary description
£65000.00 - £70000.00 per year