EU remote
HR Data Governance Project Support (m/f/d)
About this role
The role supports the lead of a complex, group-wide HR Data Governance project as a trusted delivery partner. The person helps develop a practical approach to improving HR data quality and establishing effective governance across different business units and system landscapes. They do not lead the overall project, but take responsibility for coordinating work in their assigned area, supporting project delivery and turning governance concepts into workable processes.
Key responsibilities HR data quality and governance Translate a data quality framework into practical requirements, rules, responsibilities, processes and measures. Coordinate the definition and implementation of data quality rules with the relevant business units and system owners. Identify, document, prioritize and track data quality issues and corrective actions. Adapt group-wide governance principles to different organizational structures, processes and systems.
Bring together Data Owners, Data Stewards, HR teams, IT and other stakeholders. Prepare concepts, decision papers and status updates for the project lead. Capture lessons from pilots and translate them into repeatable standards and implementation steps. Project coordination and delivery Manage complex sub-projects or project workstreams within the assigned area. Define the approach for a project or sub-project and establish clear responsibilities.
Coordinate project activities and processes in line with functional requirements and the agreed scope. Plan work and coordinate project processes; contribute to budgeting, project planning and regular status updates. Provide functional guidance to project team members working in the assigned area. Tailor communications to the project lead, team members and other target groups. Identify and assess risks, communicate them clearly and support their mitigation.
Contribute to improvements that make project processes, activities and systems more effective. Requirements Data quality or Data Governance experience: Has contributed to defining or improving data standards, quality rules, responsibilities or governance processes. Ability to put concepts into practice: Can explain how high-level requirements become operational roles, processes, controls, metrics and actions. Experience in complex organizations: Has worked across multiple functions, entities or decentralized units and can navigate differing needs and levels of maturity.