Seeking a highly motivated IT Internal Audit Manager to join our global Corporate Internal Audit team, focusing on IT Risks, Processes, Controls, and Enterprise AI Governance. The role involves conducting audits and advisory engagements, developing AI solutions for process review, and assessing risks related to AI and IT systems to support the company's rapid transformation.
Key Responsibilities
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.
Key Responsibilities
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.
Requirements:
A minimum of 7 years of relevant experience in a publicly traded company, public accounting or consulting firm in fields like technology audit, cybersecurity, software engineering, IT risk and controls, or technical program management.
Bachelor's degree in computer science, industrial engineering, information systems, engineering/technical degree, accounting or a related quantitative field.
Proven experience in Information Security, Privacy, Business Continuity Planning, System transformation and IT Governance.
Strong understanding of the Software Development Life Cycle (SDLC), IT Application Controls (ITAC), IT General Controls (ITGC), and technical/non-technical AI risks.
Sound knowledge of relevant standards such as COBIT, ISO (27001, 27701, 42001, 22301), NIST, ITIL, and COSO.
Excellent verbal and written communication skills in English, with the ability to articulate complex technical issues to diverse audiences.
Demonstrated project management skills, with the ability to manage multiple tasks concurrently, interpret complex data to identify areas for improvement, and work effectively both independently and within a team.
Preferred Qualifications
Internal audit experience is preferred.
Experience with AI-powered analytical tools.
Knowledge of enterprise systems such as SFDC, SAP, or equivalents.
Relevant certifications such as CISSP, CISA, CISM, CPA, CIA, CRISC, AAIA, AIAR, or others related to cloud, data, and AI are a significant plus.
Experience in operational audits.
A minimum of 7 years of relevant experience in a publicly traded company, public accounting or consulting firm in fields like technology audit, cybersecurity, software engineering, IT risk and controls, or technical program management.
Bachelor's degree in computer science, industrial engineering, information systems, engineering/technical degree, accounting or a related quantitative field.
Proven experience in Information Security, Privacy, Business Continuity Planning, System transformation and IT Governance.
Strong understanding of the Software Development Life Cycle (SDLC), IT Application Controls (ITAC), IT General Controls (ITGC), and technical/non-technical AI risks.
Sound knowledge of relevant standards such as COBIT, ISO (27001, 27701, 42001, 22301), NIST, ITIL, and COSO.
Excellent verbal and written communication skills in English, with the ability to articulate complex technical issues to diverse audiences.
Demonstrated project management skills, with the ability to manage multiple tasks concurrently, interpret complex data to identify areas for improvement, and work effectively both independently and within a team.
Preferred Qualifications
Internal audit experience is preferred.
Experience with AI-powered analytical tools.
Knowledge of enterprise systems such as SFDC, SAP, or equivalents.
Relevant certifications such as CISSP, CISA, CISM, CPA, CIA, CRISC, AAIA, AIAR, or others related to cloud, data, and AI are a significant plus.
Experience in operational audits.
This position is open to all candidates.
