Siemens Mobility is a leading provider of innovative mobility products and solutions, covering the full rail asset lifecycle through hardware, software, and services. Our mission is simple but ambitious: help customers make better decisions by turning IoT data from rail assets into reliable, actionable insights!

Your Role:

Are you passionate about revolutionizing the future of rail infrastructure? Do you thrive at the intersection of cutting-edge AI, complex engineering, and impactful project management? Siemens Mobility is seeking a visionary Sub-Data Domain Manager for Data Domain Projects to build the foundation for AI-powered solution that will transform how we manage large-scale, safety-critical rail projects. You will closely work with the Data Domain Manager and other Sub Data Domain Manager to identify synergies and avoid duplication

This is an opportunity to shape the digital backbone of tomorrow's transportation. You'll be instrumental in enhancing planning reliability, optimizing costs and risk management, streamlining requirement management, boosting productivity, and perfecting coordination across some of the most intricate projects in the world. Your mission: to translate real-world challenges into practical, intelligent digital solutions that empower our project teams.

Your Responsibilities:

You are the central owner and driver of all data-related topics within the Projects data domain. You bridge business and IT, ensuring that project-related data is governed, structured, and leveraged to deliver tangible value through data products and AI/analytics use cases.

The role is critical to enabling data-driven project management across Siemens Mobility and ensuring that the Projects domain evolves from a pure data delivery function towards a scalable, use-case-driven data platform – closely aligned with related transformation.

Core Responsibilities:

Domain Ownership & Strategy

• Own the vision, strategy, and roadmap for the related sub data domain.
• Define and maintain a clear IT and data architecture for the related sub domain – preventing additional silos and redundant tooling.
• Align data needs with Process Owner.

Orchestration of Data Product and its Owner

• Own the end-to-end lifecycle of all data products within the related sub domain.
• Ensure every data product is backed by a validated use case before development is initiated.