AI Risk & Governance Specialist

IAG

Brisbane

On-site

AUD 120,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Boosted superannuation 13%
20 days annual leave + 5 days MyLeave
Up to 50% off personal insurance
Partner discounts on private health, 3
Industry-leading 20 weeks paid Par ent

Job summary

IAG is Australia and New Zealand’s largest general insurer. This AI Risk Specialist role focuses on shaping risk oversight for AI, reviewing use cases and controls, and partnering with technology and governance teams to support responsible AI adoption across the organisation.

Based in Gadigal Country (Sydney), Naarm (Melbourne) or Meanjin (Brisbane), you will turn emerging AI risk into practical guidance, influence decision making at scale, and help build capability in a rapidly evolving field.

Qualifications

  • Experience in AI risk, model risk or risk governance.
  • Ability to simplify complex concepts into clear, practical advice.
  • Comfort engaging with stakeholders and challenging ideas.

Responsibilities

  • Shape and strengthen AI risk oversight practices across the organisation.
  • Review AI use cases, controls and risk assessments for responsible AI adoption.
  • Develop assurance activities to identify emerging risks and provide insights.
  • Analyse AI risk events and trends to identify themes and improvements.
  • Monitor AI governance developments and translate risk into business insights.
  • Collaborate with technology, risk and governance teams to influence outcomes.

Skills

AI risk
Model risk
Risk governance
Stakeholder engagement
Regulatory awareness

Job description

IAG is Australia and New Zealand’s largest general insurer. This AI Risk Specialist role focuses on shaping risk oversight for AI, reviewing use cases and controls, and partnering with technology and governance teams to support responsible AI adoption across the organisation.

Based in Gadigal Country (Sydney), Naarm (Melbourne) or Meanjin (Brisbane), you will turn emerging AI risk into practical guidance, influence decision making at scale, and help build capability in a rapidly evolving field.

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