Senior Manager Artificial Intelligence Tech Risk

Provide technical and delivery leadership across a cross-skilled team supporting interconnected AI, data, technology, cyber and operational risk domains.

Establish clear expectations and quality standards for risk assessments, assurance activities, written risk opinions and governance reporting; review significant outputs before escalation or submission.

Coach and mentor Managers and other team members, supporting the development of technical risk capability, professional judgement, stakeholder engagement and confidence in providing constructive challenge.

Develop and maintain effective partnerships with senior Technology stakeholders, becoming a trusted adviser through commercial acumen, sound judgement and practical recommendations.

Represent the AI Technology Risk team in senior risk, governance and strategic change forums, ensuring that material matters are clearly articulated, appropriately challenged and progressed to resolution.

Influence the prioritisation of risk remediation and control uplift by helping stakeholders understand the nature, materiality and potential consequences of identified risks.

Lead through ambiguity and competing priorities, coordinating team delivery, managing dependencies and escalating constraints or emerging risks in a timely manner.

Encourage speaking up, intellectual curiosity and constructive debate, creating an environment in which differing technical and risk perspectives can be considered safely.

Contribute to the broader development of Line 2 risk management and assurance practices, including data analytics, reporting, knowledge sharing and continuous improvement.

Role model behaviours consistent with CBA values expectations and leadership principles and contribute to a safe, inclusive and collaborative workplace.

Extensive experience in technology, cyber, data, or AI risk management, controls, assurance or audit within a large and complex environment, with experience in regulated financial services strongly preferred.

Strong technical knowledge of generative AI and agentic systems, including modern architectures such as retrieval-augmented generation, agentic workflows and LLM-based applications.

Significant experience applying risk management frameworks and three lines of accountability models and providing independent Line 2 oversight, advice and challenge.

Experience leading risk-in-change assessments, control assurance activities, thematic reviews or equivalent complex risk engagements involving multiple teams and senior stakeholders.

Broad knowledge of relevant technology and cyber control domains, including cloud, identity and access management, secure development and DevSecOps, APIs, change and release management, incident management, systems resilience, monitoring and third-party risk.

Strong judgement and the ability to distinguish between tactical control gaps, material risk exposures and broader systemic or emerging risk themes.

Strong written and verbal communication skills, including executive and governance reporting, evidence-based risk assessment and the ability to translate complex technical concepts into clear risk insights and recommendations.

Demonstrated ability to influence senior stakeholders, deliver constructive challenge and achieve commercially balanced outcomes while maintaining the independence of Line 2.

Experience providing technical leadership, coaching or quality review to risk professionals or other team members.

A relevant tertiary qualification in Computer Science, Data Science, Engineering, Cyber Security or a related discipline.

Industry certifications in cyber, cloud, technology risk or AI and machine learning are highly regarded, such as CISA, CRISC, CISSP, or AWS, Azure or GCP certifications.

A curious and humble mindset, strong awareness of external AI developments and a commitment to continuous learning and the ongoing uplift of risk management practices.

Risk mindset: All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks.

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