Lead Data Manager

Data Governance Lead Data Managers support organisations with the sourcing, acquisition, management, integration and sharing of data to provide business insights and drive data-based decision making. As a Data Manager, you will help shape how the agency governs, manages, protects and uses data as a strategic asset to ensure ongoing public trust and confidence.  You will lead the development and implementation of enterprise frameworks, policies and standards that support trusted, high-quality, well managed data You will work across business, program, operational and technology areas to improve data accountability, manage risk and strengthen the agency’s ability to use data and confidently and responsibly. Using your extensive experience in data governance, data management, risk management and stakeholder engagement, you will provide expert advice on complex data issues and influence decisions that improve the quality, accessibility, protection and value of data across the organisation. You’ll have a particular focus on the policy structures related to the use of data for emerging technologies and help ensure the agency’s governance arrangements remain fit-for purpose in an evolving environment. You will demonstrate extensive knowledge and understanding of: • Contemporary data governance and data management principle, practices and frameworks. • Data lifecycle management practises. • Governance requirements associated with analytics, automated decision-making, artificial intelligence and emerging technologies, • Approaches to improving data governance maturity and embedding sustainable organisational change. You will demonstrate: • Extensive experience in data governance, data management, information governance or a related discipline. • Experience developing, implementing or improving data governance frameworks, policies, standards, controls or operating arrangements. • Strong understanding of data governance and management concepts including but not limited to o Data stewardship and accountability o Data quality management o Data classification o Data lifecycle management o Data protection and appropriate use o Data risk and assurance • Experience translating legislation, policy, standards or organisational requirements into practical governance arrangements. • Ability to develop proportionate controls and governance approaches that support both responsible data use and organisational outcomes. • Strong analytics, research and problem-solving skills, including the ability to work through complex or ambiguous issues. • Ability to develop clear and evidence-based advice, options and recommendations • Strong written communication skills, including experience preparing executive briefs, reports, governance papers, frameworks and guidance materials. • Strong stakeholder management skills.  Have the ability to quickly acquire knowledge of the following: • Legislation, policies, procedures and information management relevant to the work area • The agency’s strategic direction, priorities and functions • The agency’s privacy, ethics, workplace health and safety and security protocols • Relevant business systems • Public sector governance, accountability, transparency and integrity expectations. Highly regarded qualifications: • Tertiary qualifications in data, information management or information systems. • Professional certification or formal training in data governance, data management, information management, privacy, risk assurance or artificial intelligence governance. Key duties and responsibilities As a Data Manager, your duties may include some or all of the following: • Lead (with broad supervision) the development, implementation and continuous improvement of enterprise data governance frameworks, policies, standards, principles and guidance with a particular emphasis on data in emerging technologies. • Provide advice on complex data issues, drawing on your extensive experience in data governance and data management. • Develop practical governance controls, assessment tools, templates and guidance that support consistent and proportionate decision-making. • Prepare high quality briefs, reports, governance papers, visual presentations and recommendations for senior leaders and governance bodies. • Monitor developments in data governance, management, analytics, artificial intelligence and emerging technologies and consider their implications for the agency. • Lead defined projects or work programs, manage competing priorities and deliver high-quality outcomes with a high degree of independence. • Promote the principles of data governance and management throughout the agency • Develop, implement and promote data governance practices • Develop and manage a range of stakeholder relationships to uplift the agency’s data literacy, governance maturity and data management practices • Provide specialist advice and technical expertise to the data community and senior leaders • Identify, monitor and report on risks, issues and benefits • Promote and support delivery of the strategic data vision and build networks to share insights • Manage and resolve escalated issues using appropriate strategies • Act with integrity by promoting workplace practices aligned with the APS Values and the APS Code of Conduct 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 3 (DCF) 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. Data and information management: Level 3 (DCF) 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. Data classification: Level 3 (DCF) 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. Data collection: Level 3 (DCF) 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. Data collection methodology: Level 3 (DCF) 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. Data governance: Level 3 (DCF) 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 new 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. Data integrity and quality assurance: Level 3 (DCF) 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. Data outputs, products or services: Level 3 (DCF) 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. Data use and re-use: Level 2 (DCF) 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. Metadata - Describe and summarise data : Level 2 (DCF) 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. Value organisational data as assets: Level 2 (DCF) 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 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 00 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