The Independent Health and Aged Care Pricing Authority's (IHACPA's) vision is to design pricing systems that promote safe, efficient health and aged care for all Australians. The implementation of ABF provides incentives for efficiency and increases transparency in the delivery and funding of public hospital services across Australia. In the context of public hospitals, IHACPA's primary function is to calculate and deliver an annual NEP. The NEP is a major determinant of the level of Australian Government funding for public hospital services and provides a price signal or benchmark for the efficient cost of providing public hospital services. IHACPA undertakes several major areas of work designed to inform the annual determination of the NEP, including ongoing consultation with all Australian health departments, expert advisory committees and key stakeholders. Recently and in response to the Royal Commission into Aged Care Quality and Safety, the Commonwealth Government announced that IHACPA's functions will be expanded to include the provision of advice on the pricing of aged care services. This will require IHACPA to develop its systems, processes and assurance work to ensure that it continues to deliver to a high standard, across its wider remit. The key duties of the position include Responsibilities include: Managing IHACPA data collections covering data acquisitions, analysis, monitoring, validating, information security, and reporting for internal and external stakeholders. Managing data submission system in IHACPA's secure data management system including submission automation and data realignment as required. Developing and maintaining technical material such as tools to validate and verify data as required Working closely with internal and external stakeholders to fill IHACPA reporting requirements in various deliverables Developing strategies, policies, priorities and work practices for various data management systems Design and implement efficient, cloud-based data pipelines and ML workflows that meet performance, scalability, and governance standards Lead modernisation of legacy analytics and ML code by migrating it to cloud native services that support scalable data storage, automated data processing, advanced analytics and generative AI capabilities Facilitate workshops and provide technical guidance to support change management and ensure a smooth transition from legacy to modern platforms.