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

Hager Polska

Tychy

Sur place

PLN 280 000 - 460 000

Plein temps

Il y a 42 heures
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Avantages offerts par ce poste

Onboarding program
Hi University
Internal career opportunities
Global, high-impact role
Autonomy to design and implement
International exposure
AI, PdM

Résumé du poste

Hager Polska is seeking a Global Process Owner – Manufacturing Data Management to define, govern, and continuously improve the global manufacturing data landscape across Operations. You will own data structures, standardize system data, and translate governance into practical shopfloor solutions across sites.

This role requires deep manufacturing domain knowledge, strong data governance skills, and ability to work across Process Owners, Operations, and IT to drive data quality, KPIs, and digital

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.

Responsabilités

  • 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.

Connaissances

Manufacturing data
Data governance
Lean manufacturing
MES architectures
Cross-functional collaboration
Global environment
Industrialisation
Production operations

Formation

Manufacturing engineering background

Outils

ERP systems
Data governance tools
BI tooling

Description du poste

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 program designed to make your first days smooth
  • Opportunities to learn and grow through Hager Group's awarded Hi University.
  • 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‑functional collaboration.
  • 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
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