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Data product owner

Wolverhampton (West Midlands)
Permanent
Intec Select
€95,000 a year
Posted: 17 February
Offer description

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 capabilites 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.


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
* 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
* 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
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