Minimum of 1 Senior Data Analyst

Senior Metadata Officer

Data Analysts the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights.

As the Data Manager you will support the uplift of business metadata by leading metadata development for assigned datasets, supervising metadata developers, driving engagement with business and technical stakeholders, and ensuring that developed metadata is consistent, complete and fit for registration.
Primary focus
Operational leadership, stakeholder engagement, hands-on metadata development and quality assurance.

Essential requirements
• Expertise implementing the ISO/IEC 11179 standard for metadata registries.
• Knowledge of other relevant standards, such as ONDC metadata attributes, National Archives of Australia requirements and DCAT, or demonstrated ability to acquire this knowledge.
• Demonstrated experience leading metadata development, quality assurance or related data management work.

Highly desirable skills and knowledge
• Data governance and data management experience.
• Strong research, analysis and synthesis skills.
• Strong written and verbal communication and facilitation skills.
• Advanced Microsoft Excel and project coordination skills.
• Experience supervising or coaching staff.
• Ability to quickly acquire knowledge of agency programs and the agency data landscape.

Ability to:
• think strategically and align operational activity accordingly
• lead and motivate staff to achieve quality outcomes
• manage, mentor and guide staff learning and development
• develop and manage a range of internal and external stakeholder relationships
• assess risks and implement mitigation strategies
• manage and resolve conflict using appropriate strategies
• grasp expectations and concerns, and negotiate quality outcomes
• understand the audience and context, and effectively tailor communication and communication styles
• develop long term plans for the team and manage work in the context of business priorities
• undertake objective, systematic analysis and draw accurate conclusions based on evidence
• make decisions based on professional judgement, risk evaluation and in the context of the environment
• work highly independently under broad direction and act collaboratively
• manage staff and competing priorities to achieve quality outcomes and project completion
• lead change initiatives and support staff through uncertainty and the change process.

Key duties

Duties may include some or all of the following:

Metadata workstream leadership
• Contribute to project scope, governance arrangements, success measures, delivery cadence and reporting requirements.
• Support prioritisation of high-value data assets across approved AI projects and relevant agency program data.
• Plan and coordinate metadata development for assigned datasets and allocate work to metadata developers.
• Track progress, quality, blockers, risks, coverage and registration status using the project tracker or dashboard.
• Support transition of registered records to ongoing stewardship and maintenance arrangements.

Metadata analysis, development and assurance
• Analyse and curate existing metadata records, Enterprise Data Warehouse artefacts, data dictionaries, data models, lineage information, source-system documentation and project materials.
• Assess metadata coverage, gaps, duplication, quality issues and terminology inconsistencies across related assets.
• Harmonise definitions, naming, business context and governance attributes where appropriate.
• Locate, interpret and synthesise technical documentation, business rules, lineage artefacts, legislation, policies, procedures and stakeholder advice.
• Develop metadata using clear, consistent, plain-English definitions and data asset descriptions for business and technical audiences.
• Review metadata produced by the workstream to assure consistency, completeness and quality.

Stakeholder engagement and staff supervision
• Lead engagement with subject matter experts, data stewards, data engineers and analysts, and AI project contacts.
• Validate metadata with relevant business and technical stakeholders.
• Submit metadata for registration and manage feedback through to agreed status.
• Deliver capability uplift in ISO/IEC 11179 and agency metadata standards.

Expected deliverables
• Completed metadata work packages for assigned datasets.
• Validated and harmonised metadata definitions and supporting artefacts.
• Quality reviews and documented resolution of issues and feedback.
• Current progress, coverage, risk and registration tracking.
• Stakeholder engagement and validation records.
• Coaching and guidance for other metadata developers.
• Inputs to stewardship and maintenance handover arrangements.