Manufacturing Global Process Owner Data Management (m/f/d)

In this role you drive the global standards and governance for Manufacturing data, ensuring accurate, standardized data structures that reflect real shopfloor processes. You act as the functional Data Owner and bridge Operations, Processes, and Digital to enable reliable decision-making and scalable digital execution across plants. You collaborate cross-functionally to align data with operational reality and drive data quality and lifecycle governance in a global network. This is a chance to shape data-driven maintenance excellence and enable transformative, cross-site improvements.

• Personalized onboarding experience
• Hi University training opportunities
• Internal career opportunities
• Global, high‑impact role shaping maintenance excellence
• Autonomy to design and implement global programs
• International exposure and cross‑functional collaboration

• Define and govern global standards and principles for Manufacturing data
• Act as functional Data Owner for Manufacturing data including scope, quality targets, and governance rules
• Own and structure work center, routings, and capacity data models across plants
• Ensure end-to-end alignment between system data and operational reality
• Drive data quality, consistency, and performance transparency through KPIs and governance routines
• Manage data lifecycle, ownership, and change governance across the manufacturing network
• Assess, prioritize, and coordinate new Manufacturing data requirements with Process Owners, Operations, and IT
• Represent Manufacturing in cross-functional data governance and decision forums
• Support plants in improving data accuracy, standards compliance, and effective system usage
• Build and sustain capabilities in Manufacturing data management, standards, and Lean Manufacturing practices

• 8+ years of professional experience in manufacturing, operations, industrial, or data-driven environments
• Strong hands-on expertise in Manufacturing data (work centers, routings, capacity)
• Solid understanding of MES architectures and Manufacturing data flows
• Proven knowledge of Lean Manufacturing and continuous improvement principles
• Experience in data governance, master data management, or digital transformation initiatives
• Highly structured and analytical mindset with the ability to manage complex interdependencies
• Proven ability to operate effectively in a global, cross-functional environment
• Background in manufacturing engineering, industrialisation, or production environments
• Strong understanding of shopfloor processes and operational constraints

• cross-functional collaboration
• analytical mindset
• structured thinking
• Manufacturing data (work centers, routings, capacity)
• MES architectures and data flows
• data governance and master data management