Global Data Governance Lead - Hybrid (MDM & AI-Ready Data)

ManpowerGroup; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working model (2 days onsite, 3

Exposure to global projects and cross‑

Job summary

ManpowerGroup is seeking a Data Governance Manager to drive enterprise data governance initiatives and MDc? Management programs. The role will partner with business and technology teams to establish trusted data, maintain data quality, and promote metadata management across a global landscape.

The candidate will lead governance across domains, define KPIs, and collaborate with IT and business functions to build scalable data governance frameworks and enable data-driven decisions.

Qualifications

• 5+ years of experience in Data Governance, Master Data Management, Data Management, or related fields.
• Experience with platforms such as SAP MDG, Reltio, Informatica, Semarchy, Profisee, or similar.
• Strong understanding of data quality, metadata management, cataloging, and lineage.
• Experience with Microsoft Purview is highly desirable.
• Advanced English level (B2+).

Responsibilities

• Lead Data Governance and Master Data Management initiatives across multiple business domains.
• Define and monitor data quality standards, KPIs, and improvement plans.
• Promote metadata management, data cataloging, lineage, and data stewardship.
• Collaborate with stakeholders across IT and business functions to build scalable governance frameworks and drive adoption.

Skills

Data governance

Data quality

Stakeholder management

Communication

English proficiency

Tools

SAP MDG

Reltio

Informatica

Semarchy

Profisee

Microsoft Purview

Job description

ManpowerGroup is seeking a Data Governance Manager to drive enterprise data governance initiatives and MDc? Management programs. The role will partner with business and technology teams to establish trusted data, maintain data quality, and promote metadata management across a global landscape.

The candidate will lead governance across domains, define KPIs, and collaborate with IT and business functions to build scalable data governance frameworks and enable data-driven decisions.