Data Governance Lead – AI

Instant Impact

. Design, implement and continuously develop the organisation’s data governance framework, policies and standards.

Posted 10/28/2026full-timeCracow • PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data governance frameworks, policies, and standards while ensuring compliance with regulatory requirements. Strong ability to foster data stewardship and literacy across the organization, driving accountability and ethical data use.

Highest-signal resume keywords

Data Governance ImplementationData Risk ManagementStakeholder ManagementGDPR ComplianceData Governance Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data GovernanceData ManagementData QualityMetadata ManagementData LineageData StewardshipData ClassificationData RetentionData Access ControlData Ethics

Soft Skills

Communication SkillsBehavioral Change LeadershipEngagement Building

Tools & Technologies

Microsoft PurviewCollibraAxon

Industry Keywords

Data OwnershipResponsible AITransparencyPrivacySecurity

About the role

Key responsibilities & impact

Design, implement and continuously develop the organisation’s data governance framework, policies and standards.
Establish clear data ownership and stewardship across the business.
Create and lead data councils and governance forums, building accountability and engagement across different business areas.
Partner with teams to define critical data, common definitions, governance rules and standards.
Establish controls across data quality, classification, retention, access, metadata, lineage and usage.
Own the data risk agenda, identifying, assessing and monitoring risks and supporting remediation and reporting.
Work with Risk, Compliance and Security to align governance with regulatory and assurance requirements.
Embed governance into data platforms, reporting, pipelines and self-service analytics.
Build data literacy and stewardship programmes.
Champion responsible data use, ethics and transparency.
Help shape Responsible AI governance so emerging AI initiatives meet ethical and regulatory expectations.

Requirements

What you’ll need

Strong practical experience implementing and running Data Governance, Data Management or Data Risk programmes.
Experience designing and implementing governance frameworks, policies and standards.
Strong knowledge of data ownership, stewardship, data quality, metadata, lineage and data risk.
Ability to establish governance forums and turn senior stakeholder support into genuine business participation and accountability.
Excellent stakeholder management skills, with the confidence to communicate complex data topics clearly to different audiences.
Experience driving behavioural change, data literacy or stewardship initiatives.
Understanding of GDPR, privacy, security and wider regulatory obligations.
Familiarity with data governance tooling such as Microsoft Purview, Collibra, Axon or equivalent transferable platforms.
Understanding of how effective data governance supports Responsible AI, including transparency, provenance and bias.