Senior Data & Metadata Lead (Hybrid)

Pinaka Technology Solutions; Canberra; Hybrid; AUD 150,000 - 210,000; Full time

Job summary

Services Australia is seeking a Lead Data Manager to drive end-to-end uplift of business metadata for priority data assets. You will oversee governance, registrars and developers, ensuring alignment with AI readiness and enterprise standards.

The role requires leadership of multi-disciplinary teams, strong data governance expertise and capability to manage complex data initiatives across the organisation.

Qualifications

• Demonstrated expertise implementing metadata registries (ISO/IEC 11179).
• Knowledge of metadata standards (ONDC, DCAT, National Archives requirements).
• Experience leading complex data, metadata or governance projects with multi-disciplinary teams.

Responsibilities

• Develop and maintain project scope, governance, success measures and delivery cadence.
• Prioritise high-value data assets across AI projects and programs.
• Set priorities, allocate resources and track delivery milestones and outcomes.
• Monitor progress with dashboards and capture risks, blockers, and registration status.
• Ensure alignment with agency objectives and AI readiness outcomes.
• Lead metadata landscape analysis, data dictionaries, lineage andDocumentation.
• Oversee metadata quality, consistency and registration readiness.
• Engage SMEs, data engineers and analysts; manage team performance.
• Provide training in ISO/IEC 11179 and metadata standards.
• Transition records to sustainable stewardship and maintenance.

Skills

ISO/IEC 11179 implementation

Metadata standards knowledge

Leadership of complex projects

Data governance expertise

Analytical capability

Stakeholder management

Excel & project tracking

Learning agility

Analytics/AI data initiatives

Job description

Services Australia is seeking a Lead Data Manager to drive end-to-end uplift of business metadata for priority data assets. You will oversee governance, registrars and developers, ensuring alignment with AI readiness and enterprise standards.

The role requires leadership of multi-disciplinary teams, strong data governance expertise and capability to manage complex data initiatives across the organisation.