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

Hager Group

Wenden

On-site

EUR 110,000 - 160,000

Full time

14 days+

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Job summary

Hager Group is seeking a Global Process Owner – Manufacturing Data Management to define, govern, and continuously improve the global manufacturing data landscape across Operations. You will act as the functional Data Owner for Manufacturing data, ensuring standardised structures, data quality, and alignment with shopfloor realities to enable reliable decisions.

This role sits at the interface of Operations, Processes and Digital, requiring deep manufacturing know‑how to translate governance into

Qualifications

  • 8+ years of experience in manufacturing, operations, industrial, or data-driven environments.
  • Hands-on expertise in work centers, routings, and capacity data.
  • Solid understanding of MES architectures and data flows.
  • Knowledge of Lean Manufacturing and continuous improvement.
  • Experience in data governance, master data management, or digital transformation.
  • Structured, analytical mindset for complex interdependencies.
  • Experience in global, cross-functional environments.
  • Background in manufacturing engineering, industrialisation, or production environments.
  • Strong understanding of shopfloor processes and operational constraints.

Responsibilities

  • Define and govern global standards for Manufacturing data.
  • Act as functional Data Owner for Manufacturing data (scope, quality, governance).
  • Own and structure work center, routing, and capacity data models across plants.
  • Ensure alignment between system data and operational reality.
  • Drive data quality, consistency, and KPI-driven governance.
  • Manage data lifecycle, ownership, and change governance across network.
  • Coordinate new Manufacturing data requirements with Process Owners, Ops, and IT.
  • Represent Manufacturing in cross-functional data governance forums.
  • Support plants in improving data accuracy and tool usage.
  • Build capabilities in Manufacturing data management and Lean practices.

Skills

Manufacturing data
MES architectures
Lean Manufacturing
Data governance
Analytical mindset
Global cross-functional
Manufacturing engineering
Shopfloor processes

Job description

Role Purpose

The Global Process Owner – Manufacturing Data Management is accountable for defining, governing, and continuously improving the global manufacturing data landscape across Operations.

The position can be enriched with project management contributions in the Manufacturing or Industrialisation domain.

The role acts as the functional owner of Manufacturing data, ensuring that system data structures are standardised, accurate, and consistently aligned with real operational processes. This enables reliable decision-making, performance transparency, and scalable digital execution across all manufacturing sites.

The position operates at the interface of Operations, Processes, and Digital, requiring strong manufacturing domain knowledge to ensure that data governance translates into practical, executable solutions at shopfloor and plant level.


Key Accountabilities
  • Define and govern global standards and principles for Manufacturing data
  • Act as functional Data Owner for Manufacturing data, including scope definition, quality targets, and governance rules
  • Own and structure work center, routing, 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 defined KPIs and governance routines
  • Manage data lifecycle, ownership, and change governance across the manufacturing network
  • Assess, prioritise, and coordinate new Manufacturing data requirements in alignment 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
Required Qualifications
  • 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

What we offer?
  • Personalized onboarding experience programdesigned to make your first dayssmooth
  • Opportunities to learn and grow through Hager Group's awarded HiUniversity.
  • Internal career opportunities, over 25% of our recruitments are through internal mobility
  • Global, high‑impact role shaping maintenance excellence across the organization.
  • Autonomy to design and implement global programs.
  • International exposure and cross‑functionalcollaboration.
  • Work with digital and innovative maintenance technologies (AI, PdM).
Recruitment Process
  • Once your CV has been selected, you will be contacted by a recruiter for an initial phone exchange.
  • You will be invited for a first interview with the hiring manager & the recruiter
  • A second Interview will be then organized with the N+2 & the HR manager

Please submit your application in English.

The position you are applying for requires an advanced command of English (minimum B2 level); therefore, the job advertisement has been prepared in this language. By submitting your application, you confirm that you have read the above job description, scope of responsibilities, and requirements, and that you fully understand their content.

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