Head (m|f|d) of Global Data Governance

About the Voith Group

The Voith Group is a globally operating technology company. With its broad portfolio of systems, products, services, and digital applications, Voith sets standards in the energy, paper, raw materials, and transport & automotive markets. Founded in 1867, Voith is today one of Europe's largest family-owned companies, with around 20,700 employees, €4.8 billion in sales, and locations in over 60 countries worldwide.

Support the Voith Group | Corporate Functions & Services division as

Head (m/f/d) of Global Data Governance
Job ID 78025 | Location Heidenheim

Your tasks

• Disciplinary and professional leadership of the Global Data Governance Workstream and the assigned employees, for example, Data Stewards.
• Responsibility for the development and implementation of a group-wide data governance model as the central foundation of the Excellence House.
• Definition and control of group-wide governance rules for data quality, data responsibility, data lifecycles, access logics, metadata and master data standards.
• Central decision-making and escalation body for questions regarding data ownership, data standards, data quality and responsibilities.
• Ensuring consistent data definitions and quality requirements across divisions, regions, and functions.
• Establishing effective roles, responsibilities, and routines to sustainably ensure data quality and data availability.
• Close integration with E2E Architecture, E2E Digitalization, Process Mining, IT and the business units to ensure data-driven scalability, transparency and decision-making capability.
• Supporting business units in translating technical requirements into clear data rules, governance standards, and responsibility models.
• Ensuring that data is not managed in isolation, but acts as a connecting foundation for process architecture, digitization, automation, process mining and performance management.

Your profile

• Completed studies in a technical or economic field.
• Solid expertise in data governance, ownership models and data lifecycle principles.
• Ability to translate technical requirements into clear data rules, responsibilities, and standards.
• High alignment and assertiveness in complex organizational structures (business, IT, functions).
• Experience in defining decision-critical data, metadata, and basic data structures.
• Strong analytical skills and pronounced conceptual thinking abilities.
• Ability to reduce complexity and to communicate principles clearly, understandably and in a way that is appropriate for the target audience.
• Excellent German and English skills.
• Resilience and professional credibility to consistently embed standards across the entire group and across all units.
• Willingness to travel (approx. 20-30%).