Data Product Owner

JLR Search Ltd; Glasgow; On-site; GBP 50,000 - 75,000; Full time

Job summary

JLR Search Ltd. is seeking a Product Owner to define and prioritise data and platform capabilities.

You will translate business and technical needs into epics, stories, and acceptance criteria, while partnering with product managers and engineering to shape roadmaps and manage dependencies. You will lead backlog refinement, sprint planning, and UAT to ensure delivered functionality meets requirements and stakeholder expectations.

Qualifications

• Bachelor's degree or equivalent practical experience in Business, Finance, Economics, Engineering, Computer Science, or related discipline.
• 2+ years of experience in Product Ownership, Product Management, or related role within Financial Services or FinTech.
• Ability to translate ambiguous needs into clear requirements, user stories, acceptance criteria, and prioritised backlogs.
• Experience 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 data lifecycle across systems.
• Understanding of APIs, data models, integrations, and requirements to build reliable data services.
• Comfort using AI-enabled tools to develop prototypes or demonstrations for discovery and stakeholder decisions.
• Strong analytical, communication, and stakeholder management skills.
• 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 execution and delivery focus.
• Demonstrated initiative and ownership.

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 and maintain a delivery-ready backlog.
• Lead backlog refinement, sprint planning, reviews, and UAT to ensure delivered functionality meets requirements.
• Use AI-enabled tools to create prototypes and demos that test assumptions and accelerate decisions.

Education

Bachelor's degree or equivalent practical experience in Business, Finance, Economics, Engineering, Computer Science, or related field

Tools

Jira

Confluence

Job description

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