Overview
The Senior Data Governance Officer is responsible for developing, implementing, and enforcing organizational data governance frameworks, policies, and standards to ensure secure, ethical, and compliant data management. This role acts as the primary steward of the data governance program, translating strategic objectives into practical policies and processes for safe and ethical data utilization.
Key Responsibilities
- Design and implement organizational data governance framework, including policies, standards, and compliance requirements.
- Develop governance roadmaps and establish governance scope.
- Create and maintain governance policies covering data classification, ownership, stewardship, quality, security, access, and lifecycle management.
- Develop classification standards and guidance for categorizing data based on sensitivity.
- Design and implement sensitivity labeling strategies using Microsoft Information Protection.
- Support the Data Protection Office with policy implementation and compliance documentation.
- Support Data Protection Impact Assessment (DPIA) processes.
- Draft incident response and data breach protocols.
- Establish, assign, and document organizational data governance structure with clear role definitions.
- Support the development of organizational approach to distribute Data, Analytics and AI capabilities and roles.
- Provide steward training and onboarding.
- Establish governance committees and forums.
- Monitor role performance and accountability.
- Define organizational data quality standards and dimensions.
- Establish and automate data quality metrics, rules, and validation checks.
- Develop data quality assessment and monitoring protocols.
- Establish data quality governance processes.
- Monitor data quality metrics, reporting on trends and issues.
- Oversee the development and maintenance of enterprise data asset inventory.
- Establish standards for data asset documentation.
- Implement and maintain Microsoft Purview data catalog systems.
- Coordinate cataloging activities across the organization.
- Monitor catalog usage and provide training.
- Develop guidelines for secure information sharing.
- Build and maintain tools and automation to monitor and audit access patterns.
- Support implementation of technical security and privacy controls.
- Coordinate with cybersecurity teams on access controls.
- Create and implement data governance policies addressing data collection, processing, storage, access, sharing, retention, and deletion.
- Develop policies specific to sensitive data categories.
- Monitor policy compliance, investigating deviations and implementing corrective actions.
- Maintain policy library and version control.
- Develop stakeholder communication strategy for data governance initiatives.
- Deliver data governance training to staff, data stewards, and leadership.
- Provide guidance to business units and technical teams on governance policy interpretation and application.
- Configure governance settings in Microsoft Purview.
- Establish data catalog taxonomies and governance domain structures.
- Define and enforce data quality policies within Microsoft Fabric and other data systems.
- Develop automated collection of data lineage and utilize data lineage for impact analysis.
- Ensure sensitivity labels are applied consistently across Fabric workspaces, Power BI, and other data systems.
- Work actively towards the achievement of IFRC’s goals.
- Abide by and work in accordance with the Red Cross and Red Crescent principles.
- Perform any other work-related duties and responsibilities that may be assigned by the line manager.
Required Experience
- 5+ years of professional experience developing and implementing data governance frameworks, policies, or standards in enterprise environments.
- Experience establishing data governance in organizations with complex data environments or regulatory requirements.
- Experience working in at least one regulated industry sector (healthcare, finance, international development), humanitarian organizations preferred.
- Experience with diverse stakeholder management including executives, technical teams, and business units.
- Familiarity with data classification, sensitivity labeling, and access control concepts.
- Knowledge of data quality dimensions, metrics, and assessment approaches.
- Familiarity with Microsoft Purview, data catalog, and governance tooling.
Qualifications
- Degree in computer science, software engineering, data science, statistics, mathematics, or related field.
- Certifications in data governance and data stewardship (preferred).
- Project Management Professional (PMP) or similar credentials (preferred).
- Microsoft certifications related to data governance, compliance and Purview (preferred).
