Qualification and Experience:

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Technology Policy or a related discipline. A relevant master’s degree is preferred. Qualifications must meet PDA’s applicable recognition and equivalence requirements.
Essential experience

• At least 15 years of progressively responsible relevant professional experience across AI, machine learning, technology strategy or technology policy, including senior leadership responsibility.
• Demonstrated leadership of AI strategy or governance and sufficient technical depth to assess applied AI systems, deployment risks and assurance evidence.
• Evidence of leading multidisciplinary teams and influencing executive stakeholders on responsible AI investment and adoption.
• Experience taking complex technology initiatives into implementation with measurable outcomes and ongoing governance.

Desirable experience

• Leadership of AI strategy, governance or transformation engagements in consulting, professional services or technology advisory is desirable. Comparable leadership in government, technology companies, regulated organisations or specialist firms will receive equal consideration. Public-sector AI, generative AI evaluation and familiarity with internationally recognised AI risk frameworks are advantageous.
• Key competencies
• AI governance; applied AI judgement; model evaluation; risk assessment; policy translation; portfolio prioritisation; capability building; stakeholder leadership.

Instructions:

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