Solution Owner - Data-Driven Scheduling Optimization | Solution Owner - Data-Driven Scheduling Optimization (m/w/d)
TÜV SÜD AG
Job Summary
As a Solution Owner for Data-Driven Scheduling Optimization, you will take end-to-end technical responsibility for building, operating, and evolving a scalable scheduling and optimization platform. You will act as the bridge between business requirements and technical implementation, translating stakeholder needs into actionable user stories, epics, and backlogs. Working alongside interdisciplinary teams of data scientists and software developers, you will oversee the entire product lifecycle, from initial conception to the implementation of data-driven use cases in an agile environment. This role is unique for its focus on scaling analytical services and mathematical optimization within a global safety and sustainability leader. You will play a pivotal role in shaping the technical target architecture and product roadmap, ensuring that AI and data analytics solutions provide measurable value across the organization's diverse business units.
Required Skills
Education
Successfully completed degree in Business Informatics, Mathematics, Operations Research, Engineering, or a comparable field of study.
Experience
- 3-5 years of relevant professional experience in managing data analytics or AI projects within a corporate or consulting environment
- Professional experience in building or developing platforms and the productive operation of analytical services
- Professional experience in agile work methods, including backlog management and sprint planning
- Professional experience in translating business requirements into technical concepts and roadmaps
Languages
Additional
- Practical programming experience (e.g., Python) and knowledge of Azure Cloud environments are explicitly listed as advantageous prerequisites.
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