Global Data Steward Quality / Complaints (m/f/d)
61352, Bad Homburg vor der Höhe, Hessen, Deutschland
Veröffentlicht: 10.07.2026
Data Scientist
UNBEFRISTET
Stellenbeschreibung
## Einleitung / Über uns
The Global Data Steward Quality / Complaints (m/f/d) ensures data quality, consistency, and compliance across global Quality processes and systems. The role defines data standards, manages Quality data across its lifecycle, and supports data migration, harmonization, and transformation initiatives.
## Ihre Aufgaben
Data Governance and Standards
Data Quality Management
Data Lifecycle Management & Migration
Cross-Functional Collaboration
Data Design and Business Alignment
## Ihr Profil
## Wir bieten
Drive the future with us — join #futurefresenius and apply now to make an impact!
## Kontakt
Fresenius Kabi Else-Kröner-Straße 1 61352 Bad Homburg
[karriere.fresenius.de](http://karriere.fresenius.de)
[Jetzt online bewerben](https://apply.jcd.de/Apply.php?iJobAdID=106403&tc=3-11)
The Global Data Steward Quality / Complaints (m/f/d) ensures data quality, consistency, and compliance across global Quality processes and systems. The role defines data standards, manages Quality data across its lifecycle, and supports data migration, harmonization, and transformation initiatives.
## Ihre Aufgaben
Data Governance and Standards
- Define and maintain standards for Quality and complaint master data objects
- Ensure data compliance with internal policies and regulatory requirements
Data Quality Management
- Define and validate data quality rules and acceptance criteria
- Monitor data quality and define acceptable thresholds
- Analyze and resolve data inconsistencies and issues
- Manage escalation of data quality deviations
Data Lifecycle Management & Migration
- Own the end-to-end lifecycle of Quality master and transactional data
- Safeguard data integrity across systems and processes
- Coordinate data cleansing activities within the Quality domain
- Validate and approve migration deliverables (extraction, load, validation)
- Ensure data readiness for testing and productive use
Cross-Functional Collaboration
- Collaborate with Global Process Owners, Process Owners, and Quality SMEs
- Align with IT, SAP, QMS, and data migration teams
- Resolve cross-domain data dependencies (e.g. material, supplier, batch)
- Ensure consistent data definitions across processes
Data Design and Business Alignment
- Translate business requirements into data definitions and structures that support core Quality processes
## Ihr Profil
- Successfully completed university degree in information management, life sciences, or related field
- Experience in data governance or master data management
- Experience with SAP ECC, SAP S/4HANA and Quality Management Systems (QMS)
- Strong functional knowledge of SAP QM module
- Experience in the pharmaceutical, medical device, or a similarly GxP-regulated industry
- Experience with data cleansing and data migration processes
- Experience collaborating with global, multi-site organizations with exposure to Quality, Production, Maintenance, Supply Chain, Logistics, and Warehousing domains
- Strong knowledge of core Quality processes, including inspection, batch release, complaints, deviations, change management, stability studies, calibration, and supplier management
- Experience in global transformation or system implementation projects
- Experience with SAP Solution Manager for requirements management, Signavio for business process modelling, and Aperture Data Studio for data profiling is desirable
- Proficient in English
- Strong stakeholder management and communication skills in cross-functional and international teams
- Strong analytical and problem-solving capabilities
## Wir bieten
Drive the future with us — join #futurefresenius and apply now to make an impact!
## Kontakt
Fresenius Kabi Else-Kröner-Straße 1 61352 Bad Homburg
[karriere.fresenius.de](http://karriere.fresenius.de)
[Jetzt online bewerben](https://apply.jcd.de/Apply.php?iJobAdID=106403&tc=3-11)
Arbeitszeiten
Vollzeit
Details
- Eintrittsdatum:
- 10.07.2026
- Adresse:
- null
61352 Bad Homburg vor der Höhe - Hauptberuf:
- Data Scientist
- Stellenangebotsart:
- ARBEIT