Global Data Steward (m/f/d)

100055 Fresenius Kabi Deutschland GmbH; Bad Homburg vor der Höhe; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A global healthcare company based in Bad Homburg is seeking a Global Data Steward to manage data governance frameworks and collaborate with multiple manufacturing sites. The ideal candidate has a degree in Information Management or a related field, along with proven experience in data management within regulated industries. Responsibilities include ensuring data quality and compliance, and overseeing data cleansing and migration efforts.

Qualifikationen

• Proven experience in data management, governance, or a similar role in a regulated industry.
• Demonstrated expertise in master data management, data cleansing, and migration processes.
• Familiarity with data management tools and software platforms.

Aufgaben

• Define, implement, and maintain comprehensive data policies and governance frameworks.
• Partner with manufacturing sites to standardize and implement master data practices.
• Oversee and manage data cleansing activities to maintain integrity and accuracy.

Kenntnisse

Data Management

Data Governance

Collaboration

Data Cleansing

Ausbildung

Bachelor’s or Master’s degree in Information Management, Data Science, or related field

Tools

SAP

Jobbeschreibung

Global Data Steward (m/f/d) page is loaded

Global Data Steward (m/f/d)

Apply locations Bad Homburg (H28-30) time type Full time posted on Posted 5 Days Ago job requisition id R-10010631

Your Assignments

• Data Governance & Policy Development:

  • Define, implement, and maintain comprehensive data policies and governance frameworks.

  • Develop clear data object definitions tailored to Master Data requirements.

  • Ensure all data governance initiatives adhere to industry regulations and quality standards.

• Global Collaboration & Implementation:

  • Partner with approximately 40 manufacturing sites to standardize and implement master data practices.

  • Collaborate with cross-functional teams (Quality, Production, Maintenance, Supply Chain, Logistics, Warehousing) to align data strategies.

  • Facilitate communication and training sessions to promote data literacy and governance best practices across the organization.

• Operational Data Management:

  • Oversee and manage data cleansing activities to maintain data integrity and accuracy.

  • Lead data migration efforts during business transformation projects, ensuring smooth and error-free transitions.

  • Monitor data quality metrics and report on key performance indicators (KPIs) to senior management.

• Issue Resolution & Support:

  • Act as the primary point of contact for master data-related issues.

  • Provide guidance and support to data experts across various sites.

  • Address and resolve discrepancies or challenges in data management processes promptly.

Your Profile

• Bachelor’s or Master’s degree in Information Management, Data Science, Computer Science, Business Administration, or a related field.

• Proven experience in data management, data governance, or a similar role within the Pharmaceutical, MedTech, or a similarly regulated industry.

• Demonstrated expertise in master data management, including data cleansing and data migration processes.

• Experience collaborating with global, multi-site organizations, ideally with exposure to Quality, Production, Maintenance, Supply Chain, Logistics, and Warehousing domains.

• Familiarity with data management tools, software platforms, and best practices, in particular pertaining to SAP products.

• Knowledge of regulatory requirements and compliance standards specific to the pharmaceutical and medtech industries.

Mindesteingruppierung/Minimum Grading:

E 11 (K)

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When your job has both impact and purpose, you know it's Fresenius.

As a global healthcare group, we are committed to a special goal: Ever better medicine for ever more people. Whether directly with patients or as an expert in the background, at Fresenius you can contribute to improving the quality of life of people with diseases.