Senior Manager – Data, Analytics and AI Risk Management
Australia
Full Time
2 hours ago
H1B Sponsor
Key skills
AIAnalyticsLeadershipRisk Management
About this role
Role Overview
Provide Line 1 Risk view on Data, Analytics and AI Risks, including responding to evolving regulatory and industry expectations
Ensure effective Line 1 oversight and governance of the implementation and ongoing adherence to the Group policies and standards for Data, Analytics and AI
Provide leadership to the Group and Divisional teams to ensure policies and standards are translated into sound controls and assurance activities to enable effective risk management and timely escalation and resolution of material risks/issues
Work across the three lines of defence to develop and deliver the Data and AI Risk and Control framework and associated assessments
Establish and manage a clear cadence of risk governance forums to support identification, monitoring, remediation and reporting of risks and controls
Lead Risk & Control Self‑Assessment and assurance engagements with risk and control owners, ensuring work is well scoped, planned and delivered to a high standard, and produces reliable, high‑quality management information on risks, controls, issues and actions.
Produce high‑quality, targeted risk reporting for senior management and governance forums, delivering clear narratives on key risks and concise updates on the status of risks, controls, issues and actions.
Build strong partnerships with Line 2 Risk, Internal Audit, Privacy and Compliance to embed an integrated, end‑to‑end risk management approach.
Requirements
Practical experience in data, analytics and AI within a risk management, audit, compliance or control environment
Strong understanding of AI risk governance frameworks and evolving regulation, such as NIST AI RMF, the EU AI Act and GDPR
Proven ability to engage senior stakeholders and present complex risk insights as clear, compelling narratives
Comfortable operating in ambiguity, managing competing priorities and adapting to change
Background in Financial Services with experience navigating complex, federated global organisations
Experience in insurance, insurance broking or investment management would be advantageous
Working knowledge of recognised risk and control frameworks, such as NIST, ISO or COBIT, would be beneficial
Relevant qualifications in Risk Management, AI or Data Analytics, or strong reporting and analytics capability, would be well regarded