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Global Data Steward - Inventory Planning (m/f/d)

Freseniusglobal (Fk Careers De) Open
Bad Homburg Full-time Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Freseniusglobal (Fk Careers De). Bad Homburg · full-time.

Pay not stated Data Architecture & Governance salary

RoleData Architecture & Governance
SeniorityMid-level
LocationBad Homburg
EmploymentFull-time
PostedSep 7, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set and refine the rules, definitions, ownership and processes for inventory-planning master data
  • Turn planning and supply-chain needs into workable data governance arrangements and structures
  • Bring global sites and teams across supply chain, manufacturing, logistics, warehousing and quality into alignment
  • Lead data cleanup and migration work, track quality measures and resolve master-data problems
  • Help shape future planning processes, roles and governance as business transformation progresses

What you bring

  • A university degree in supply chain, business, information management or another listed field
  • At least five years in inventory planning, supply chain, data governance or master data within a regulated industry
  • Knowledge of inventory planning, supply-demand relationships and inventory optimization
  • Practical work on data cleanup, migration and quality, plus familiarity with SAP and master data processes
  • Business-level English and experience engaging stakeholders across global functions and sites

Who this fits

This mid-level role suits someone who can connect business needs with data governance and work across global teams. The position is based in Bad Homburg, Germany and involves collaboration with manufacturing sites worldwide.

From the employer

This role plays a pivotal role in shaping and governing master data standards for Inventory Planning within a globally acting Pharmaceutical and MedTech company. Acting as the bridge between business and technology, this role combines data governance expertise with a strong understanding of supply chain processes, inventory optimization principles, and stakeholder engagement. Working closely with global process owners, functional experts, and approximately 40 manufacturing sites worldwide, the position is responsible for ensuring consistent, high-quality master data while translating business requirements into effective data structures, governance concepts, and operational processes. As part of a broader business transformation, the role will drive data quality initiatives, support data migrations, and actively contribute to the design of future inventory planning processes and responsibilities.

Your responsibilities:

  • Define, implement, and continuously improve global master data standards, governance frameworks, and data policies for Inventory Planning.

  • Develop and maintain clear data object definitions, ownership structures, and governance processes.

  • Translate business requirements into effective data governance solutions supporting inventory planning and supply chain objectives.

  • Collaborate with approximately 40 manufacturing sites worldwide to harmonize master data standards and planning concepts.

  • Partner with stakeholders across Supply Chain, Manufacturing, Logistics, Warehousing, Quality, and Production to align business and data strategies.

  • Understand and challenge business requirements by applying knowledge of inventory planning, supply-demand dynamics, and inventory optimization principles.

  • Drive discussions with diverse global stakeholders and facilitate alignment across functions, regions, and organizational levels.

  • Support the design and implementation of future-state processes, roles, responsibilities, and governance structures.

  • Lead data cleansing and data migration activities as part of global business transformation and system implementation projects.

  • Monitor data quality KPIs, resolve master data issues, and promote data governance best practices across the organization.

Your qualifications:

  • University degree in Supply Chain Management, Business Administration, Information Management, Data Science, Industrial Engineering, Computer Science, or a related field.

  • At least 5 years of experience in Inventory Planning, Supply Chain Management, Data Governance, Master Data Management, or a related discipline within the Pharmaceutical, MedTech, or a similarly regulated industry.

  • Strong understanding of inventory planning processes, supply-demand concepts, and inventory optimization principles.

  • Ability to understand business challenges, identify optimization opportunities, and translate requirements into sustainable solutions.

  • Strong analytical and quantitative skills, including the ability to interpret data, planning parameters, and business impacts.

  • Experience working in complex global organizations with multiple stakeholders, functions (e.g. Quality, Production, Maintenance, Supply Chain, Logistics, Warehousing), and manufacturing sites.

  • Proven ability to engage, influence, and align diverse stakeholder groups across organizational levels and geographies.

  • Proactive and self-driven mindset with the ability to initiate discussions, drive topics forward, and operate effectively in ambiguous environments.

  • Hands-on experience with data cleansing, data migration, and data quality management initiatives.

  • Familiarity with SAP solutions and master data management processes.

  • Business fluency in English.

Drive the future with us — become part of #futurefresenius and apply now via our online portal!

Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Architecture & Governance

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.