Lead of Data Governance

Link Group; Warszawa; On-site; PLN 240,000 - 380,000; Full time

Job summary

Link Group is seeking an experienced Data Governance Lead to strengthen how data is managed across our complex international organization in Warsaw. You will shape governance strategy, establish standards, and drive adoption across business and technology teams to improve confidence in information and regulatory compliance.

You will lead data ownership, stewardship, quality, metadata and master data initiatives, collaborating with senior stakeholders to deliver practical, scalable governance

Qualifications

• Extensive experience in data governance and enterprise data management.
• Ability to manage data ownership, stewardship, and MDM.
• Strong knowledge of data quality, metadata, and reporting standards.
• Experience influencing senior stakeholders in international environments.
• Fluent English; experience in regulated or structured industries.

Responsibilities

• Develop and implement the data governance strategy and roadmap.
• Define policies for data ownership, stewardship, quality, and metadata.
• Lead data quality and master data initiatives across business units.
• Set standards for reporting, analytics, and AI governance.
• Collaborate with senior stakeholders across business and technology teams.

Skills

Leadership

Stakeholder management

Data governance

Data quality

Metadata management

MDM

Data strategy

Communication skills

AI governance

Cloud data platforms

Tools

Data catalogues

Job description

We are looking for an experienced Data Governance Lead to strengthen the way data is managed, maintained and used across a complex international organization. The role will focus on developing a consistent approach to data management, improving confidence in business information and ensuring that data-related responsibilities are clearly defined across business and technology teams.

The successful candidate will shape the governance strategy, establish practical standards and support their adoption across different business areas. The position combines strategic planning, organizational change and collaboration with senior stakeholders, ensuring that data governance supports business objectives, informed decision-making and evolving regulatory requirements.

Key Responsibilities

Data Governance Strategy

• Develop and continuously improve the organization's data governance strategy and implementation roadmap.
• Establish an effective governance structure that combines common enterprise standards with accountability at business-unit level.
• Identify opportunities to improve governance maturity, organizational awareness and the effective use of data.
• Advise senior stakeholders on data-related risks, information reliability and governance priorities.

Policies, Standards and Data Accountability

• Develop guidelines and policies covering data ownership, stewardship, quality management, metadata and master data.
• Define responsibilities and decision-making processes for business-critical data domains.
• Establish consistent definitions and management principles for business terms, performance indicators and reporting information.
• Ensure governance principles are integrated into relevant business processes, technology initiatives and data-related projects.

Data Quality and Master Data

• Establish a consistent approach to measuring, monitoring and improving data quality across key business areas.
• Define criteria for identifying critical data, setting quality expectations and prioritizing corrective actions.
• Develop governance principles for master data, including ownership responsibilities, common definitions and the management of authoritative records.
• Support data consistency across systems, business units and reporting environments.

Reporting, Analytics and AI

• Define standards for reliable reporting, including KPI definitions, data-source validation and approval processes.
• Establish governance expectations for analytics and AI solutions, with a focus on transparency, accountability, traceability and appropriate controls.
• Work with relevant teams to promote consistent interpretation of business information and confidence in analytical outputs.
• Support the responsible use of data in emerging technology initiatives.

Stakeholder Collaboration and Organizational Development

• Build effective working relationships with business leaders, data teams, IT, architecture, security, privacy, legal and compliance functions.
• Clarify the responsibilities of data owners, stewards and other stakeholders involved in managing business information.
• Lead the development of governance capabilities and support knowledge-sharing across the organization.
• Monitor governance effectiveness through relevant performance indicators, risk measures and maturity assessments.
• Promote continuous improvement while keeping governance processes practical and proportionate to business needs.

Requirements

• At least 10 years of experience in data governance, enterprise data management, data quality, master data management or related areas, including leadership responsibilities.
• Experience developing and implementing data management strategies, governance frameworks and operating models in complex organizations.
• Strong knowledge of data ownership, stewardship, data quality, metadata, business terminology management, MDM and reporting standards.
• Understanding of governance requirements for analytics, performance reporting and AI-enabled solutions.
• Experience working in regulated or highly structured business environments; experience in life sciences or pharmaceuticals would be an advantage.
• Familiarity with modern data platforms, cloud-based environments, data catalogues and governance technologies.
• Ability to translate business and regulatory needs into scalable processes, clear standards and practical implementation plans.
• Strong stakeholder management, communication, facilitation and conflict-resolution skills.
• Ability to influence senior stakeholders and collaborate effectively across business and technology functions.
• Strategic mindset combined with a pragmatic, delivery-focused approach.
• Fluent English and experience working in international environments.