# Lead Data Manager (Data Assurance)Job Reference: #9995Federal Government AgencyBaseline RequiredAustralian CitizenServices AustraliaQLD, ACT, VIC, SA, TASContractCloses 11/11/2026Data GovernanceData EthicsData AssuranceResponsible AIData Quality AssuranceData CleansingData ValidationData Analytics ToolsScripting and Coding (Data Collection)Metadata ManagementData Classification and CodingAgile MethodologiesShare## About the RoleRole OverviewData ethics and data management: apply risk-based governance frameworks and data ethics to assurance of data and AI-enabled initiatives; develop data assurance and AI processes and practices; assess data initiatives for data management, trust and ethics risks and give clear, impartial recommendations in line with the agency's Data Governance Framework and data trust and ethics principles; advise on the ethical, trust and data management implications of current technologies, emerging AI use cases and changing work practices; help modernise assurance tools for transparent, accountable and explainable AI; develop, implement and maintain data management documentation and embed best practice.Communication and stakeholder engagement: prepare high-quality briefs, recommendations, formal communications and presentations for senior leaders, committees and stakeholders, often at short notice; explain complex data governance, ethics and assurance concepts clearly; build partnerships with internal and external stakeholders.Planning and judgement: research initiatives, assess risks and recommend practical action; plan and manage work for self and team; coach, mentor and succession-plan; champion data management and a culture of valuing data as an asset; apply expert skills in data quality, cleansing and validation and in data and analytics tools; exercise delegations; work in agile multi-disciplinary teams.Key Responsibilities• Data assurance lead: assess AI and other complex data initiatives for data management, trust and ethics risks; give impartial recommendations aligned to the agency's Data Governance Framework and data trust and ethics principles.• Expert data governance: formulate and advise on data governance policies and frameworks covering data access, security, privacy and ethics; track legislative change; thought leadership.• Responsible AI: develop data assurance and AI processes; help modernise tools for transparent, accountable and explainable AI; advise on emerging AI use cases.• Expert data management fundamentals:



data access, classification and coding, collection and collection methodology, metadata, data quality, integrity, use and re-use (incl. data sharing legislation).• Hands-on data skills: expert data quality, cleansing and validation; expert use of data and analytics tools; able to write custom scripts and code to collect data.• Prepare briefs and recommendations for senior leaders and committees, often at short notice; communicate complex concepts clearly.• Lead and coach the team: plan work, mentor, succession-plan, champion data as an asset.### About the ClientFederal Government Agency specialising in government and social services delivery.## RequirementsEssential CriteriaYour response must demonstrate experience against each of the following:1. Can mitigate issues arising from different access approaches. Can make and justify recommendations for data access. Can provide actionable strategic advice on data access.2. Is an expert resource for implementing and shaping the organisation's strategic use of data and information management good practice, and can advise others. This includes requirements relating to data access, data security, privacy and ethics. Represents a point of contact for data and information management leads in other organisations.3. Is an expert resource on data classifications and coding protocols and advises others. Can employ conceptual frameworks in support of data classification and coding.4. Is an expert resource in all aspects of data collection, including why data is collected and the roles associated with collection. Can make justifiable decisions about how data is collected. Can write custom scripts and code (programming language) to collect data.5. Is an expert resource on data collection methodology. Can make justifiable recommendations to address data collection issues. Maintains understanding of new trends and innovations relating to data collection methodology (including Artificial Intelligence-based technologies) and develops own capabilities in these where relevant.6.



Is an expert resource in data governance and can formulate and advise on data governance policies and contribute to the structure of organisational data governance frameworks (includes data access, data security, privacy and ethics). Represents a point of contact for data governance leads in other organisations. Maintains awareness of recent legislative requirements and trends that impact good data governance and ensures organisational compliance with these (includes data access, data security, privacy and ethics). Can provide data governance thought leadership across broader data use contexts.7. Is an expert resource in the use of measures for data quality assurance, the interaction of those measures, and their application in conjunction with one another. Can advise others on the use of data quality measures to make accurate assessments of data fitness-for-purpose (including trustworthiness and accuracy). Is an expert resource on ensuring data integrity across its lifecycle, and advises others.8. Has expert knowledge about the production of a data output, product or service. Provides expertise in developing new products or data services to meet evolving requirements, needs and opportunities. Can build the capability of others in the delivery of data outputs, products or services.9. Understands and can articulate the value of data in terms of use and re-use. Implements a variety of techniques to ensure data is open and can be used beyond the specific purpose for which it was collected, in accordance with legislative requirements and organisational guidelines (includes data sharing legislation).10. Can use various summary options to effectively describe data, and explain and justify those choices. Follows organisational standards and procedures relating to metadata creation, storage and use. Can access metadata and use the descriptors to better understand existing data and effectively use it.11. Has extensive knowledge of the organisation's data assets, including a comprehensive understanding of how their fitness for purpose translates to value for the organisation. Promotes opportunities for using data to support decision making, advice and research. Considers the broader environment and context when drawing or interpreting insights from data. Uses these insights to make informed, evidence-based decisions and recommendations, and act accordingly.Interested in this role? Submit your application today.
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📌 Lead Data Manager (Data Assurance) (Melbourne)
🏢 Trident Group
📍 Melbourne