> Markdown version of [/jobs/ext/3589330-data-product-owner](https://www.wearedevelopers.com/jobs/ext/3589330-data-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Product Owner - **Company:** Jaguar Land Rover - **Location:** Glasgow, UK - **Experience:** Experienced - **Salary:** £65,000.0 - £70,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data as a Services, Data Systems, Machine Learning, Metadata, Scrum Methodology, AI-enabled Products, Scaled Agile Framework, SQL Databases, Systems Integration, Information Technology, Atlassian Tools, Data Management - **Published:** October 5, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3004755385-2 ## About the Role * 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. ## Description * 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.