Lead Data Manager

Data Manager 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. Data Managers support the instrumentation of Enterprise Data Management across all business units and develops data standards and strategy for the solution. Data Managers exercise a considerable degree of independence, with decision-making substantially dependent on their high-level judgement and consideration of wider agency implications, with work being performed under the general guidance of senior managers. Data Analyst Managers drive innovation, change in workplace practices and organise work in the context of competing priorities and strategic direction. Technology skills • Microsoft Power BI dashboards, reports and visualisations • Microsoft Purview Knowledge/Qualifications • Demonstrated experience analysing complex data, preparing and validating information from multiple sources, and translating findings into clear insights and recommendations. • Experience developing professional dashboards, reports and visualisations using Microsoft Power BI. • Practical experience supporting data governance, information management, compliance, classification or reporting activities in Microsoft Purview or a Microsoft 365 environment. • Strong communication and stakeholder engagement skills, including the ability to explain complex information, influence outcomes, manage priorities and deliver high-quality work under limited direction Key duties and responsibilities Duties may include some or all of the following: • Lead and support operations of the team including monitoring business performance, setting priorities, and managing resources and workflow • Lead and manage staff including overseeing the management of performance, attendance and health and wellbeing • Develop staff capability through coaching, mentoring and succession planning to increase performance, engagement and retention • Undertake and assist with business management and workforce planning • Collaborate with a broad range of internal and external stakeholders to achieve project outcomes • Develop standard methodologies, processes and procedures for the data components of ICT and business projects • Initiate adjustments to data policies and procedures as necessary to improve key performance indicators • Contribute to and influence ICT strategy resolving conflicts as needed • Assist with implementation of data quality programs, including measurements initiatives • Prepare and review a range of written material including technical and corporate documentation • Monitor and manage work output and quality against established performance standards through interpretation of quality analysis and reporting • Assist with the management of finances, contracts, procurement, resources and expenditure within area of responsibility • Manage team contribution to costing processes • Report on the achievement of business outcomes, key performance indicators and quality assurance to manage overall performance • Encourage innovation, continuous improvement and manage and support change • Attend interagency meetings and forums to influence business outcomes and share information • Engage and partner with other agencies and service providers to build service delivery capability • Assist with the development of strategies, operational policy and procedures and change initiatives • Act with integrity by promoting workplace practices aligned with the APS Values and the APS Code of Conduct • Exercise delegation in accordance with legislation and guidelines. Data analysis and insights • Lead the analysis of complex and varied datasets to identify trends, patterns, risks, issues and opportunities using appropriate analytical methods to produce accurate, repeatable and evidence-based findings. • Integrate and reconcile data from multiple sources, including data cleansing, validation and quality checks. • Translate complex analysis into clear insights, recommendations and practical actions for decision PAGE makers, supported by well-documented analytical approaches, assumptions, definitions, business rules and data limitations. • Assure the quality, consistency and reliability of analytical outputs produced across the team. Reporting and Power BI • Design, develop and maintain high-quality Microsoft Power BI dashboards, reports and visualisations that meet stakeholder needs and support clear, usercentred reporting. • Develop fit-for-purpose performance measures, reporting definitions and data models that enable consistent, reliable and well-governed reporting. • Monitor reporting accuracy and performance, investigate anomalies and implement improvements to strengthen the quality and reliability of reporting products. • Present analytical findings and reporting insights clearly to senior leaders, committees and stakeholders, while promoting effective visualisation practices and appropriate governance of published reports.  Microsoft Purview and data governance • Apply Microsoft Purview experience to support data discovery, classification, governance, assurance and reporting across the M365 environment. • Use Purview insights to improve visibility of data holdings, sensitive information, risks, controls and reporting outcomes. • Work with business and technical stakeholders to validate data classifications, ownership, governance requirements and related policy, legislative and security obligations. • Identify data quality, privacy, security and governance risks, and support practical improvements to processes, controls and guidance. Communication and stakeholder engagement • Prepare high-quality reports, formal communications and presentation materials, and clearly explain complex analytical, reporting and data governance concepts to technical and non-technical audiences. • Build effective partnerships with stakeholders, clarify needs, resolve issues and facilitate discussions or workshops to define requirements, measures, data definitions and priorities. • Provide clear advice to senior leaders and governance forums, including the implications, limitations and risks associated with analysis, to support informed decisionmaking. Planning and judgement • Demonstrate initiative, professional judgement and sound problem-solving skills when analysing complex or ambiguous issues. • Plan and manage work priorities, including developing clear work plans, timeframes, dependencies and supporting documentation. • Manage analytical and reporting risks, issues and changes and escalate matters appropriately. • Contribute to a collaborative, inclusive and customer focused culture and act consistently with the APS Values and 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 editing: Level 3 (DCF) Is an expert resource on different methods of data editing and advises others Can assess current editing methods critically Can build capability of others in data editing concepts and methods 7. 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 8. 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 9. 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 10. 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) 11. Identify research questions: Level 2 (DCF) Can identify and structure relevant research questions for specific needs, and develop the approach and specific measures to resolve those questions 12. Integrate data: Level 3 (DCF) Can perform and provide expert advice on data integration Can build capability of others in understanding and applying good data integration practice and principles Can write custom scripts and code (programming language) to integrate data Maintains understanding of new trends and innovations relating to integrating data (including Artificial Intelligence-based technologies) and develops skills in these where relevant 13. 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. 14. Sourcing and use of administrative data: Level 3 (DCF) Is knowledgeable about multiple sources of administrative data Can advise on how the data has been used to produce new insights Provides expertise to identify new sources of administrative data as well as uses for that data Can write custom scripts and code (programming language) to source and combine administrative data Maintains understanding of new trends and innovations relating to sourcing of administrative data(including Artificial Intelligence-based technologies) and develops capabilities in these where relevant 15. 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 12 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