Role Purpose
We are looking for a pragmatic and hands-on Data Governance Manager to develop, implement, and continuously improve our group-wide data governance framework.
This role will be responsible for building the foundations of data governance across the organization, including policies, procedures, roles and responsibilities, data ownership, data quality practices, master data governance, and governance operating routines.
The successful candidate must be comfortable both defining the framework and doing the practical work needed to make it real: drafting documents, facilitating workshops, mapping data flows, defining data ownership, preparing governance materials, supporting MDM implementation, and helping business and IT teams adopt new ways of working.
This is not a purely advisory or supervisory role. The Data Governance Manager will be expected to actively produce deliverables and drive implementation.
Your mission:
Develop and maintain the group data governance framework, including policies, procedures, standards, templates, and operating model.
Define and implement practical governance processes for data ownership, stewardship, data quality, issue management, metadata, and master data.
Draft and maintain governance documentation directly, including policies, procedures, RACI matrices, process flows, training materials, and decision records.
Support the definition of master data domains, especially in areas such as products, customer, supplier, material, part, and other key business data.
Work with business and IT stakeholders to identify critical data flows, data quality issues, ownership gaps, and improvement priorities.
Help define roles and responsibilities for data owners, data stewards, process owners, system owners, governance lead.
Facilitate workshops and working sessions with business and IT teams to turn governance principles into usable practices.
Support the evaluation and implementation of MDM capabilities and tools, ensuring that technology decisions are aligned with governance processes.
Establish simple data quality rules, monitoring practices, issue escalation paths, and remediation workflows.
Prepare and deliver awareness and training materials to help teams understand and adopt data governance.
Track governance maturity, progress, risks, and adoption across the group.
Promote a practical, step-by-step approach to governance that delivers visible value without unnecessary bureaucracy.
Your profile:
Required Experience
Experience in data governance, data management, master data management, data quality, or related fields.
Proven ability to create practical governance documents, such as policies, procedures, standards, operating models, and role descriptions.
Experience working with business and IT stakeholders to improve data processes and clarify accountability.
Good understanding of master data concepts, including data ownership, stewardship, golden records, reference data, hierarchies, and data quality rules.
Experience supporting or contributing to MDM, ERP, PLM, CRM, PIM, data catalog, or data quality initiatives.
Ability to work hands-on in a developing governance environment where not everything is already defined.
Strong facilitation, communication, documentation, and stakeholder-management skills.
Ability to translate governance concepts into simple, usable business practices.
Preferred Experience
Experience in the automotive, manufacturing, industrial, supply chain, or distribution sector.
Familiarity with data governance frameworks or practices such as DAMA-DMBOK, DCAM, COBIT, ISO 8000, or ISO 9001/IATF 16949-related quality environments.
Experience with master data domains such as parts, products, materials, suppliers, customers, plants, equipment, or logistics data.
Experience with MDM or PIM tools such as Pimcore, AtroCore, Informatica, Stibo, SAP MDG, Semarchy, Riversand, or similar platforms.
Experience working in international or group-level organizations.
Knowledge of GDPR, data protection, information security, and data compliance principles.
English required; French, Italian, or other group languages are an asset.
Key Skills and Behaviors
Hands-on and delivery-oriented: willing to draft, analyze, document, test, and follow through.
Pragmatic: able to start simple and improve maturity over time.
Structured: able to create clarity from fragmented processes, systems, and responsibilities.
Collaborative: able to work with business, IT, quality, supply chain, finance, and operational teams.
Clear communicator: able to explain data governance in plain language.
Persistent but realistic: able to drive adoption without creating unnecessary complexity.
Comfortable with ambiguity: able to build the framework while the organization is still maturing.
Success Measures
The Data Governance Manager will be successful if they help the group achieve tangible progress such as:
Approved and adopted data governance policies and procedures.
Clear data ownership and stewardship roles for priority data domains.
A practical MDM operating model ready to support tool implementation.
Documented data flows and governance controls for priority processes.
Defined data quality rules and issue-management workflows.
Improved awareness and adoption of governance practices across business and IT teams.
A realistic roadmap for growing governance maturity over time.
Travel Requirements
The role requires occasional travel to the Group’s entities/sites to support data governance activities and collaborate with local teams.
This role is ideal for someone who enjoys building data governance from the ground up: not only designing the framework, but also creating the documents, facilitating the discussions, solving practical problems, and helping teams adopt better data practices step by step.
Sz1
