Principal Cyber Security – Risk Management

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Job highlights

Qualifications

  • The ideal candidate is a strategic and forward-thinking risk professional with experience navigating complex technology environments and evolving regulatory expectations
  • This individual should be equally comfortable providing independent risk oversight, influencing executive stakeholders, and helping enable innovation through practical, risk-informed solutions
  • 7+ years of work experience in technology risk management, AI governance, data risk, cybersecurity, audit, issue remediation, regulatory compliance, or related governance disciplines within a large enterprise environment
  • Strong understanding of AI and data governance concepts, technology risk frameworks, audit and issue management practices, and regulatory expectations related to emerging technologies and responsible AI adoption
  • Demonstrated ability to influence senior leadership, lead cross-functional initiatives, navigate ambiguity, and deliver executive-ready communications, reporting, and risk insights in complex and rapidly evolving environments

Responsibilities

  • This role will help drive effective governance, enable responsible and trustworthy AI adoption, and support secure, scalable technology innovation across the enterprise
  • Lead and support technology risk initiatives across audit and issue management; AI and Data Management risk with emphasis on responsible AI governance; Consumer Technology eXperience (CTX) risk advisory functions and emerging technology risk oversight
  • Develop and enhance governance frameworks, risk management methodologies, controls, monitoring, KRIs/KPIs, and executive reporting related to AI systems, data management practices, technology risk, and remediation activities
  • Partner with various business units and senior leaders to assess risk and coordinate activities associated with AI adoption, data management and evolving regulatory requirements
  • Support risk oversight activities including issue identification, validation, control assessments, model and AI governance reviews, audit readiness, regulatory response, and ongoing monitoring of technology and AI-related risks
  • Drive scalable and sustainable risk management capabilities through automation, process improvement, use case development, and implementation of technology solutions
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Melbourne, Australia
(Sat - Thursday)
(10am - 05 pm)
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