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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Product Owner- London - **Company:** FDM Group - **Location:** London, UK - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Data Governance, Enterprise Data Management, Snowflake, Data Management, Data Lakehouse, Data Delivery, Databricks - **Published:** August 6, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=54d154ad50cc1cb1 ## About the Role * Proven experience as a Data Product Owner, Product Manager or Data Delivery Lead within enterprise data programmes. * Strong understanding of Medallion Architecture concepts and data product delivery models. * Experience defining and managing data product roadmaps and prioritised backlogs. * Experience gathering requirements and translating business needs into data and technology deliverables. * Strong stakeholder management across business, technology and governance functions. * Experience working within large-scale data platform transformation programmes. * Strong understanding of Data Management Controls and data governance requirements. Technology Experience * Databricks * Snowflake * AWS * Data Lakehouse environments * Enterprise Data Platforms * Agile Delivery Tooling * Data Product Management Frameworks * Data Governance Platforms Functional Experience * Data Product Ownership * Backlog Management * Roadmap Development * Requirements Gathering * Value Realisation * Stakeholder Management * Governance and Controls * Agile Delivery * Dependency Management Domain Experience Highly Desirable * Financial Services * Business Banking Particularly Valuable * Banking products and customer journeys * Banking data domains * Regulatory and compliance requirements * Enterprise-scale transformation programmes * Data consumption and analytics use cases ## Description FDM is a global business and technology consultancy seeking a Data Product Owner to work for our client within the finance sector. This is initially a 12 month contract with the potential to extend and will be a hybrid role that will be based in London 2 days a week with travel to Manchester (expenses covered) every fortnight. We are supporting a major Enterprise Data Platform (EDP) transformation within a leading UK Banking organisation. The programme is establishing a strategic Enterprise Data Platform that enables Business Banking teams to consume trusted, governed and high-quality data through a Medallion Architecture framework (Bronze, Silver, Gold)., * Own the Business Banking data product roadmap within the Enterprise Data Platform programme. * Define and prioritise data product backlogs aligned to business outcomes and regulatory requirements. * Act as the primary interface between Business Banking stakeholders, delivery teams and platform engineering teams. * Define business requirements, user journeys and acceptance criteria for Business Banking data products. * Ensure Business Banking data consumption requirements are translated into deliverable technical capabilities. * Drive alignment between Business Banking priorities and Enterprise Data Platform objectives. * Prioritise development of Gold-layer data products and consumption services derived from Bronze and Silver data domains. * Work closely with Data Architects and Tech Leads to ensure data products comply with Medallion Architecture principles and enterprise standards. * Define success measures, KPIs and value realisation metrics for data products. * Manage dependencies, risks and delivery priorities across multiple workstreams. * Present progress, priorities and outcomes to programme governance forums and senior stakeholders. * Support adoption of agile and AI-enabled delivery practices., * Balance strategic planning with day-to-day delivery leadership. * Manage complex stakeholder landscapes. * Drive adoption of Business Banking data products. * Influence senior stakeholders and governance bodies. * Maintain focus on business value while ensuring alignment to architectural and control standards. ## Related Videos - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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)