Data Governance Lead

What we offer

• Employment contract and flexible hybrid model of work in Gdansk
• Co-financing for professional training and courses
• Co-financing of sports activities (Multisport card)
• Retirement pension plan
• Private medical care
• Life insurance

Requirements

• 5+ years in Data Governance, Master Data, or Data Management roles.
• Experience with data governance frameworks, data quality, and metadata.
• Experience working with global, cross-functional teams.
• ERP and master data experience (e.g., Infor M3) is a plus.
• Strong communication and stakeholder management.
• Knowledge of data catalog, lineage, metadata, and data quality tools.
• Ability to drive change in complex organizations.
• Detail-oriented with strong process thinking.

Responsibilities

• Establish and maintain the global Data Governance framework, including roles, responsibilities, standards, and data quality controls.
• Define and manage the governance operating model, ensuring collaboration between data owners, data stewards, business units, IT, and the Data Office.
• Lead the Data Governance maturity roadmap to continuously improve governance processes, controls, and adoption.
• Ensure alignment with global regulatory frameworks, including GDPR and relevant industry regulations.
• Coordinate governance policy communication, training, and adoption across the organization.
• Supervise the definition and monitoring of data quality KPIs, SLAs, and data quality rules across business domains.
• Oversee the development and maintenance of the Enterprise Data Catalog, business glossary, metadata standards.
• Drive the organization’s Data Literacy program to improve awareness of data roles, responsibilities, and best practices.
• Ensure Data Governance requirements are embedded in business transformation initiatives, analytics programs, and system changes.
• Ensure master data governance aligns with domain processes such as Finance, Sales, Production, HR, and Logistics.
• Support Global Process Owners in harmonizing data definitions, ownership boundaries, and standards across domains.
• Develop the global Data Governance team and promote a culture of data responsibility, transparency, and accountability.