> Markdown version of [/jobs/ext/2920963-data-product-owner](https://www.wearedevelopers.com/jobs/ext/2920963-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:** Vallum Associates - **Location:** Birmingham, UK - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Confluence, JIRA, BigQuery, Computer Literacy, Data Architecture, Information Engineering, Data Governance, Python (Programming Language), Metadata, Scrum Methodology, Release Management, Cloud Services, Standard Sql, DataOps, Data Layers, Microsoft Fabric, Data Management - **Published:** September 15, 2026 - **Apply:** https://www.collegerecruiter.com/job/2879224343-data-product-owner ## About the Role * Strong understanding of Operational Resilience concepts and hands-on experience with relevant data e.g. service / impact tolerances, asset dependency incidents / outages, DR / BCP test evidence, concentration indicators * Conceptual understanding of Procurement / Real Estate and associated data domains preferred * Demonstrable experience in a data-related role (data product, analytics, data operations, data engineering, MI delivery) with ownership of outcomes * Strong capability in requirement gathering & analysis, stakeholder engagement, and use case management, able to move from ambiguity to a prioritised plan * Working knowledge of data architecture, data management, data governance concepts * Experience building or managing data assets aligned to business outcomes and strategic data models (e.g. curated datasets, KPIs, semantic models, reports) * Understanding of data architecture and data modelling (conceptual / logical), and how design decisions impact downstream consumption and scalability * Practical experience with data quality assessment, uncovering inconsistencies across systems, and driving remediation with accountable owners Familiarity with modern data platform patterns (e.g. metadata-driven discovery) and operating models for reusable data products * Strong product delivery skills (backlog management, prioritisation, MVP definition, release planning), experience with JIRA and Confluence * Ability to communicate through clear narratives and practical value cases, comfortable presenting solutions to technical and non-technical stakeholders * Technical literacy, confidence working with SQL, python, analytics tooling, experience with cloud data platforms (GCP, Big Query) ## Description * Lead product delivery of data foundations for Operational Resilience, providing a governed, reusable data layer that underpins how the bank measures resilience, maps service dependencies and tests scenario assumptions across Procurement and Real Estate Services * Own the roadmap and backlog for one or more data products (e.g. procurement spend, supplier performance, real estate portfolio performance, operational KPIs), aligned to business outcomes and strategic data model * Translate stakeholder needs into clear product requirements i.e. problem statement, user journey, use cases, acceptance criteria, value hypotheses, and measurable outcomes (OKRs, KPIs) * Drive end-to-end delivery through the full data product lifecycle, ensuring reusability and consistent consumer experience * Partner with Data Engineers, Analysts, Architects, and Data Governance to define data models, data contracts, metadata, lineage, quality rules, retention and access controls in line with HSBC standards and policies * Publish Data Products to the Data Fabric with appropriate documentation, certification, and consumption guidance (e.g. semantic definitions, metric logic, SLAs) * Prioritise delivery using Agile practices (refinement, sprint planning, demos, retrospectives), managing dependencies and removing blockers across multiple teams * Oversee data quality assessment and continuous improvement (completeness, accuracy, timeliness, consistency), including monitoring and incident resolution where required * Drive adoption & stakeholder engagement, communications, training materials, and enablement for consumers (MI / reporting teams, analysts, operational users) ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)