Manager Data Manager

Metadata Developer Data Managers support organisations with the sourcing, acquisition, management, integration and sharing of data to provide business insights and drive data-based decision making. Role purpose As the Data Manager you will support the uplift of business metadata by developing metadata definitions and supporting artefacts in line with agreed standards, under the supervision and guidance of other staff. The role undertakes detailed research, analysis, stakeholder validation and registration activities for assigned data assets.  Primary focus Hands-on metadata research, analysis, development, validation, registration and progress tracking under APS6 guidance. Essential requirements • Understanding of ISO/IEC 11179 and other metadata standards or demonstrated ability to rapidly acquire this knowledge. • Demonstrated ability to research, interpret and synthesise business and technical information. • Ability to develop precise, consistent and accessible written definitions. Highly desirable skills and knowledge • Data governance and data management knowledge. • Strong research and analytical skills. • Strong written and verbal communication skills. • Advanced Microsoft Excel skills. • Ability to quickly acquire knowledge of agency programs and the agency data landscape. • Experience with data dictionaries, data models, lineage artefacts or metadata repositories. Ability to: • build rapport and maintain stakeholder relationships • investigate and respond to identified issues and escalate as needed • prioritise competing tasks and work collaboratively to see tasks through to completion • communicate confidently and present messages in a clear, concise and articulate manner • manage time and organise work against performance expectations and contribute towards teamwork plans • undertake analysis and draw accurate conclusions based on evidence • research and make sound decisions based on sound subject matter knowledge and judgement • work independently and as part of a team under general direction • adapt to a changing environment and assist others identify expectations and concerns Key duties and responsibilities Duties may include some or all of the following: Metadata analysis and curation • Contribute to prioritisation of high-value data assets across approved AI projects and relevant agency program data. • Review 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. • Locate, interpret and synthesise system documentation, business rules, lineage artefacts, legislation, policies, procedures and stakeholder advice. • Harmonise existing metadata, including definitions, naming, business context and governance attributes, where appropriate. Metadata development and validation • Develop clear, consistent, plain-English metadata definitions and data asset descriptions suitable for business and technical audiences. • Prepare supporting metadata artefacts in accordance with ISO/IEC 11179, agency standards and agreed work instructions. • Engage subject matter experts, data stewards, data engineers and analysts, and AI project contacts to obtain required business and technical information. • Validate metadata with relevant business and technical stakeholders and document agreed outcomes. • Apply review feedback and correct quality, consistency or completeness issues. Registration and delivery support • Submit metadata for registration and manage feedback through to agreed status. • Maintain accurate records of progress, quality, blockers, risks, coverage and registration status in the project tracker or dashboard. • Escalate unresolved information gaps, inconsistencies, risks and dependencies to other staff. • Support transition of registered records to ongoing stewardship and maintenance arrangements. Expected deliverables • Completed metadata definitions and supporting artefacts for allocated data assets. • Documented metadata coverage, gap, duplication and quality findings. • Stakeholder-validated metadata records. • Registration submissions and resolved registration feedback. • Accurate and current progress and status information. • Inputs to stewardship and maintenance handover arrangements. Criteria The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters. Essential criteria 1. Data access: Level 1 (DCF) Can use the range of available options to access common data sources 2. Data and information management: Level 1 (DCF) Can access and comply with data and information management principles and associated guidelines. This includes requirements relating to data access, data security, privacy and ethics Knows where to obtain advice on the application of good data and information management practice Knows what data is and broadly what it can be used for 3. Data classification: Level 1 (DCF) Is aware of relevant data classifications and coding protocols, and their proper application to data in general Knows who to consult for expert knowledge 4. Data collection: Level 1 (DCF) Understands the role of data collection and the value propositions of different collection approaches Can collect data by following established processes, using the systems and tools provided 5. Data collection methodology: Level 1 (DCF) Is aware of relevant data collection methodologies Knows where to obtain advice on data collection methodologies as required 6. Data governance: Level 1 (DCF) Is aware of and understands implications of data governance frameworks and policies and the relevant legislative requirements that underpins them (includes data access, data security, privacy and ethics). Knows where to obtain advice on governance as required 7. Data outputs, products or services: Level 1 (DCF) Is aware of the steps of the data output, product or data service process, and understands the decisions made at each of those steps Knows where to obtain advice on data outputs, products and/or services as required 8. Data use and re-use: Level 1 (DCF) Understands the data they work with can be used more widely and is aware of relevant data sharing legislation Is familiar with basic data sharing guidelines and organisational procedures to support the re-use of their data by others 9. Sourcing and use of administrative data: Level 1 (DCF) Is aware of the data obtained from administrative sources and the use of administrative data Knows where to obtain advice about administrative data sources and use as required Understands what administrative data is, including its benefits and limitations 10. Value organisational data as assets: Level 1 (DCF) Is familiar with organisational data assets relevant to their work Understands how those assets contribute value to the organisation Actively looks for opportunities to use data to support decision making, advice and research Uses insights from data to make informed, evidence-based decisions and recommendations, and act accordingly Opportunity summary Sellers can submit Up to 3 candidates Number of sellers invited Between 5 and 10 Number of candidates submitted Fewer than 10 RFQ closing time 02 Weeks 01 Days 06 Hours Send us feedback About Accessibility Privacy Terms of use Disclaimer and copyright An initiative of the Digital Transformation Agency The Australian Government acknowledges the Traditional Owners of Country throughout Australia and acknowledges their continuing connection to land, waters and community. We pay our respects to the people, the cultures and the Elders past and present. © Commonwealth of Australia