Data Product Owner

Data Product Owner (SQL/NoSQL)


Our trusted client, who we have partnered with for several years is hiring a Data Product Owner to play a pivotal role in the data modernisation programme. The chosen Data Product owner will have strong capabilities-in launching data platforms and services end to end delivering large scale & complex data transformation initiatives partnering with data engineers, architects and the CDO.- Our client is offering a basic salary of -95,000 + 25% bonus + 28 days holiday + 8% contributory pension + more to be based in Chatham, London and Wolverhampton on a hybrid basis.

To be successfully, the chosen Data Product Owner must have strong experience within the financial services domain coupled with experience of SQL & NoSQL architectures who has proven experience delivering data transformation initiatives aligning to-SAFe/Agile-ownership to be considered.

The ideal candidate will be-will be a seasoned data leader or senior architect / analyst with a blend of experience across data, focusing on identifying and delivering value as part of a large-scale transformation initiative

Core responsibilities:

• Define and own the-vision, strategy and roadmap-for enterprise data platforms aligned to CDO and business strategy
• Partner with SMEs, architects, engineers and cross-functional leaders to shape high-value data solutions
• Translate product vision into a-prioritised, value-based delivery roadmap
• Develop and validate business cases, presenting to senior stakeholders and C-level committees
• Establish clear success metrics, KPIs and measurable outcomes
• Lead ideation workshops to identify customer needs, pain points and innovative solutions
• Apply-Lean Agile and SAFe practices, collaborating across Program Increment (PI) cycles

• BI dashboards and reporting
• Data APIs and feeds
• Cloud and hybrid data platforms
• ML models and services
• Data models and governance frameworks
• Master data management
• Act as the voice of the Data Platform, aligning technical capability with business demand
• Ensure full compliance with Risk and Data Governance policies

• Defining and launching enterprise data platforms and services end-to-end
• Delivering large-scale data transformation initiatives
• SQL and NoSQL architectures
• Cloud or hybrid data platforms (Azure experience desirable)
• Financial modelling, ROI definition and KPI-driven decision making
• Working with senior stakeholders and influencing without authority
• Agile, Lean and continuous delivery methodologies