At a Glance
- Tasks: Lead the development of data governance frameworks and champion data stewardship.
- Company: Join a Federal Government agency focused on strategic data management.
- Benefits: Competitive salary, job security, and opportunities for professional growth.
- Other info: Australian Citizenship mandatory; dynamic role with significant impact.
- Why this job: Shape how data is managed and protected in a meaningful way.
- Qualifications: Extensive experience in data governance and knowledge of AI ethics required.
The predicted salary is between 90000 - 110000 $ per year.
Working with a Federal Government agency is seeking an experienced Data Governance Lead (EL1 equivalent) to shape how the organisation manages, protects, and leverages data as a strategic enterprise asset. You will drive the development of modern data governance frameworks, champion data stewardship networks, and establish proportionate controls for AI and automated decision-making.
Key Responsibilities
- Strategic Governance Frameworks: Lead the development, implementation, and continuous improvement of enterprise data governance policies, standards, principles, and controls.
- AI & Emerging Technologies: Develop practical governance controls, ethical frameworks, and risk assessment templates for the use of data in AI, machine learning, and automated decision-making pipelines.
- Stewardship & Operating Model: Champion and uplift the agency's data literacy and stewardship network, managing Data Governance Councils and working across program and operational divisions.
- Executive Advisory & Policy Translation: Translate privacy legislation, data-sharing laws, and national standards into practical operating procedures; author executive briefs and board-level papers.
- Data Lifecycle & Quality Assurance: Define frameworks covering data access, classification, lifecycle management, critical data elements (CDEs), and data quality monitoring.
Experience
- Extensive experience establishing or maturing enterprise data governance frameworks within large, regulated, or government environments.
- Deep knowledge of AI governance, algorithmic transparency, automated decision-making, and ethical data use principles.
- Familiarity with public sector data legislation and standards (e.g., Privacy Act 1988, DATA Scheme / ONDC, APRA/Commonwealth risk frameworks, or CDMP principles).
- Proven stakeholder engagement skills with the ability to influence senior executives, business owners, and technical delivery teams.
- Background in data management concepts (data quality metrics, metadata, classification, and secure data access).
Mandatory: Australian Citizenship (AGSVA Baseline or NV1 clearance held or checkable history required).
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