Lead technology audit and advisory engagements across various domains including cybersecurity, infrastructure, applications, data management, IT transformation, and AI-related risks while advising on practical ways to strengthen governance, resilience, and risk management.

Drive governance and oversight of technology programs and emerging AI risks, including model governance, data governance and quality, privacy, security, and responsible AI.

Develop and implement audit methodologies to assess risks across the entire AI lifecycle, including model design, validation, explainability (XAI), bias, and the security posture of Generative and Agentic AI systems—while ensuring compliance with emerging regulations, ethical guidelines, and industry best practices.

Drive the integration of AI risk management into existing technology audit domains by providing expert advice on control design.

Promote innovation within the internal audit function by applying new tools and techniques such as agentic AI, data analytics, and automation.

Collaborate with cross-functional teams, including Privacy, IT, Engineering, Finance and Infosec, to identify and address audit observations with timely corrective actions.

Lead research on technology risks and controls to formulate recommendations for process improvements and innovation.