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# Senior Data Product Owner - Azure DevOps & Data Strategy

- **Company:** Nagarro Gruppe
- **Location:** Nürnberg, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Systems Development Life Cycle, Data Mesh, Software Engineering, Data Strategy, Data Management
- **Published:** October 30, 2026
- **Apply:** https://www.careerjet.de/jobad/de8deae464e16395288d1ffac6358019f0

## About the Role

* 12+ years of relevant professional experience in IT, Data Management, Product Management, or a similar field.
 * Fluent German language skills, both written and spoken (mandatory).
 * Proven experience working with Azure DevOps.
 * Strong understanding of SDLC processes and software development methodologies.
 * Hands-on experience in backlog management and requirements prioritization.
 * Excellent stakeholder management and communication skills.
 * Experience with Data Strategy and Data Products.
 * Ability to translate complex business requirements and existing documentation into clear, structured, and actionable deliverables.
 * Location in Bavaria is preferred

## Description

We are looking for an experienced Senior Data Product Owner (m/f/d) to drive the development and continuous improvement of data-driven products and solutions.
In this role, you will be responsible for backlog management, translating existing documentation into actionable requirements, and coordinating stakeholders across business and technology teams.
With your strong expertise in Data Strategy, Data Products, and your understanding of Data Mesh principles, you will ensure that business needs are translated into clear requirements and successfully delivered throughout the Software Development Life Cycle (SDLC).

 * Build, maintain, and prioritize the product backlog based on business value and strategic alignment.
 * Translate existing documentation into actionable requirements, user stories, and work items.
 * Coordinate and align stakeholders across R&D, Finance, and IT to ensure transparent communication.
 * Guide the development team throughout the SDLC and support efficient delivery.
 * Define and implement data strategies while promoting Data Mesh principles and concepts.
 * Contribute to the development and enhancement of data products that drive business outcomes.