Director AI Transformation

UOW Global Enterprises is a subsidiary group of the University of Wollongong and is aligned to the University's strategic objectives of international student growth. Established in 1988, UOWGE owns and operates the University of Wollongong in Dubai, UOW College Australia, UOW College Hong Kong, UOW Malaysia and UOW India.

UOWGE is at the forefront of delivering quality higher and vocational education and training on an international scale, with our institutions offering more than 200 programs, including higher education, vocational training, English language, and professional development programs to nearly 18,000 students annually.


Full-time, open to candidates based in Australia or India.

Director AI Transformation

About the Role

The Director AI Transformation is responsible for enterprise-wide governance, assurance, and delivery oversight of artificial intelligence across UOW Global Enterprises. The role ensures AI is implemented in a safe, ethical, compliant, and value-driven manner, while enabling innovation and measurable institutional outcomes.

Reporting to the Executive Director Business Transformation, and working closely with UOWGE Executive, UOWGE Data and Analytics, Digital Transformation, Governance and Legal, key business leads, and UOW IMTS, this role is central to establishing responsible AI governance, aligning AI initiatives to institutional priorities, and overseeing AI-enabled transformation across UOWGE's global operations.

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.

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.

Applicants must address the selection criteria in their application. Full details of the selection criteria are available in the Position Description.

What We Offer

• A supportive, collaborative and innovative work environment.

Opportunities to contribute to meaningful organisational goals.

How to Apply

If your qualifications, skills and experience match the requirements of this role, and your values align with ours, we encourage you to apply.

All applications must include:

• Cover letter, including salary expectation in the relevant local currency for the country of appointment
• The selection criteria
• Resume

Applications will be reviewed as they are received and may be shortlisted for interview prior to the closing date of 11:59 pm AEST on 30 August 2026.