Senior Assistant Data Manager / Data Manager

About the role

SLA is looking for a Senior Assistant Data Manager / Data Manager to drive the development and implementation of enterprise-wide data governance policies, frameworks and practices, so that data is managed securely and effectively as a strategic organisational asset.

Key responsibilities

• Develop and implement SLA's data governance workplan and initiatives, working across business and technical teams.
• Develop, implement and monitor policies, standards and processes covering the data lifecycle, including ownership and stewardship, classification, quality, access, sharing, retention, protection and disposal.
• Translate Whole-of-Government data management and security requirements into practical organisational controls and operating practices.
• Work with business units, data owners, IT, cybersecurity, legal and audit teams to embed data governance requirements into ICT systems, projects and business processes.
• Coordinate the management of data incidents, including response, reporting, remediation and follow-up actions to prevent recurrence.
• Develop and run capability-building, engagement and outreach programmes to strengthen data literacy, stewardship and security awareness across SLA.
• Advise and guide business units and project teams on data governance, data management and responsible data use.

Required profile

• Degree in Data or Information Management, Information Systems, Computer Science, Information Technology or a related discipline.
• At least 2 years of relevant experience in data governance, data management, data protection, data security or related areas, preferably driving cross-functional initiatives.
• Knowledge of public-sector data governance and security requirements, or experience in a regulated environment, is an advantage.
• Strong analytical, problem-solving, stakeholder-management and communication skills, and the ability to work independently while collaborating across teams.

Required skills

• Good understanding of data governance principles: stewardship, data quality, classification, sharing, access controls and lifecycle management.
• Knowledge of personal data protection requirements and responsible data use.
• Understanding of how data policies relate to ICT systems, cloud platforms, cybersecurity, analytics and AI initiatives.