Public Sector Data Governance and Management

Manage data subject rights compliance for public sector bodies — designing access request handling, objection and rectification processes, and GDPR compliance programs for government data processing.

Design whole-of-government data architecture strategies — developing enterprise data models, data exchange standards, API governance, and interoperability frameworks for digital government programs.

Draft and review inter-agency and public-private data sharing agreements for government bodies — covering legal basis, data minimization, purpose limitation, and information governance obligations.

Design and evaluate government open data policies — developing publication frameworks, dataset prioritization strategies, and public data access standards aligned with transparency mandates.

Design and implement government records and information management programs — covering retention schedules, disposal authorities, FOI readiness, and digital preservation standards for public agencies.

Advise on data governance for national statistical systems — covering administrative data access, statistical confidentiality, data linkage governance, and NSO data quality assurance frameworks.

Design governance frameworks for algorithmic decision-making in government — covering bias assessment, explainability standards, human oversight requirements, and AI transparency for public sector use cases.

Manage data quality programs for government agencies — designing measurement frameworks, audit methodologies, and improvement plans that ensure public service data is accurate and fit for purpose.

Establish data stewardship roles, responsibilities, and governance structures in public agencies — ensuring data quality, accountability, and compliant data management across government systems.

Design and implement master data management programs for government agencies — establishing authoritative registers for citizens, entities, locations, and services across public sector data ecosystems.