- Lead the product management for data & analytics solutions across the domains of Manufacturing, Engineering and Quality Mgmt with an end-to-end perspective
- Act as the central interface between business stakeholders and the IT organization for the assigned data & analytics solutions — coordinating with data domain owners, source system specialists, data engineers, ML/AI engineers, BI specialists, architects, governance, and DevOps.
- Translate business needs into actionable, scalable solution designs — spanning data integration, data modeling, descriptive analytics, reporting, machine learning, and AI-based services — that deliver measurable value with high adoption and low complexity.
- Coordinate end-to-end implementation, from backlog management to validation and go-live, and ensure stable operations and ongoing enhancement in close collaboration with business key users.
- Reports into the IT Data & Analytics organization of ContiTech.
- Cross-functional role interfacing with a large variety of business, IT and data & analytics roles
- Owner of multiple IT services in the form of data & analytics business solutions
Main Tasks:
• Understand business processes and strategic goals in Manufacturing, Engineering and Quality Mgmt
• Translate needs into robust data & analytics solution concepts that address business impact, usability, compliance, and scalability
• Lead and support various stages in the data & analytics product lifecycle such as design, development, testing, continuous improvement, maintencance & support
• Engage with business stakeholders, data owners, IT system owners, and internal specialists to align on goals and technical direction
• Secure approvals and alignments with legal, compliance, and governance functions (e.g., Data Protection, Workers Council)
• Lead backlog creation and refinement based on the approved solution design
• Coordinate delivery by data engineers, BI developers, ML/AI engineers, and other relevant specialists
• Coordinate business validation and user testing with key stakeholders
• Ensure smooth go-live and monitor solution performance and user adoption
• Serve as the first point of contact for business key users on solution enhancements
• Manage change requests and continuously evolve the solution based on business priorities
continental