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Key Responsibilities: Establish, implement and continuously improve UOWGE’s AI governance framework, aligned to UOW AI policy, local regulatory requirements and global best practice. Define and oversee AI standards, controls and guardrails, including ethical use, explainability, model transparency and acceptable use. Lead AI risk management and assurance processes, including risk identification, classification, mitigation and reporting across AI initiatives. Translate UOWGE strategic priorities into a coherent AI transformation roadmap aligned to student success, operational efficiency and growth. Provide end-to-end oversight of AI programme and project delivery, including intake, prioritisation, business case development and benefits realisation. Partner with Digital Transformation, IMTS, Data and Analytics teams and business units to support effective integration of AI solutions into enterprise data, analytics and technology ecosystems. Define and oversee AI lifecycle management, including model development, validation, deployment, monitoring, bias detection, drift management and retirement. Champion responsible AI principles and lead AI literacy, training and adoption strategies across UOWGE. Handle any other task as assigned by the Executive Director of Business Transformation. Selection Criteria The successful candidate will have: Bachelor’s degree in data science, computer science, information systems, analytics or a related discipline. Significant experience leading AI, advanced analytics or digital transformation delivery in a complex organisation. Demonstrated experience establishing governance frameworks, risk controls and assurance processes, with strong stakeholder management, executive engagement and cross-functional leadership capability. Strong knowledge of AI, generative AI, advanced analytics, data governance, privacy, responsible AI principles, enterprise data platforms and analytics ecosystems. Certified proof of right to work in the country of appointment, either Australia or India, as applicable. Desirable experience includes postgraduate qualifications in AI, data science, analytics or business; higher education or regulated sector experience; familiarity with enterprise AI and analytics platforms; and experience developing AI policies, standards or capability uplift programs.