Data Governance Principal; m​/f​/d

Your Tasks

As Data Governance Lead (m/f/d), be a core member of the central Data & AI function, responsible for operationalizing Media Markt Saturn 's federated data governance framework across ~11 markets. Work closely with Global Data Domain Owners, regional teams, and cross-functional stakeholders to ensure data is trusted, compliant, and fit for purpose - at enterprise scale.

• Ownership and continuous evolution of the enterprise data governance framework, including policies, standards, data classification, and metadata management
• Coordination of the Data Domain Council, including support of domain working groups, resolution of conflicting priorities between domains and escalation of unresolved issues with clear options
• Leadership of data quality governance through the definition of KPIs, escalation paths, and remediation workflows in collaboration with domain leads
• Maintenance and continuous enhancement of the enterprise data catalog and business glossary on GCP/Big Query, leveraging tools such as Dataplex, Data Hub, and Collibra
• Support of GDPR compliance activities, including data classification, PII discovery, and maintenance of Records of Processing Activities (RoPA)
• Close collaboration with Legal, Tax, IT Security, and Data Privacy teams to ensure alignment of governance frameworks with regulatory and risk requirements
• Monitoring and reporting of governance maturity across domains, with a focus on continuous improvement and progress reporting to the Data Board
• Functioning as the operational interface between the central Data & AI team and business-side domain leads, ensuring translation of governance requirements into actionable processes

• Several years in data governance, data management, or a related discipline in a complex, multi-market organization
• Proven ability to drive governance adoption in a federated model - influencing and gaining genuine commitment from stakeholders without formal authority over them
• Strong command of data governance frameworks and best practices (e.g., DAMA-DMBOK); ability to adapt them pragmatically to organizational context
• Hands‑on experience with data catalog and metadata tools – Dataplex, Data Hub, Collibra, or similar
• Familiarity with GDPR and data privacy requirements, ideally in a retail or consumer context
• Proven ability to work in a federated model – influencing without direct authority across business and technology stakeholders
• Cloud data platform experience, ideally GCP/Big Query
• Excellent communication skills in English;
  German is a strong plus

• Location:
  
  Ingolstadt
• Department: HQ - Priorization Management & CDO
• Type of Employment:
  Full Time
• Working Hours:
  
  37,5
• Entry Level: Professional Level