Director Internal Audit- Data and AI

About IAG AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. Internal Audit Group AIG’s Internal Audit Group (IAG) provides independent and objective assurance, advice, and insight guided by a philosophy of adding value to improve the operations of AIG. IAG assists AIG in accomplishing its objectives by bringing a systematic and disciplined approach to evaluate and improve the effectiveness of AIG’s control environment including risk management, operational, financial, internal control, and governance processes. About the role At AIG, we’re reshaping how the world manages risk, and we’re inviting you to be a key part of that transformation. As a Director Internal Audit- Data and AI, will have the opportunity to make a meaningful impact, providing independent assurance over AIG’s Data Office, Artificial Intelligence and global infrastructure. You will be providing coverage for Data Office, AI and infrastructure platforms that power our digital ecosystem. This role will report directly to the Chief Technology Auditor.  You will oversee a team of auditors focused on understanding and assessing risks and controls related to data governance, artificial intelligence, and emerging technologies across AIG. This includes managing relationships with the Chief Data and Digital Officer, ensuring audits are completed in compliance with audit methodology and Institute of Internal Auditors’ standards, and developing audit team skillsets in emerging technology domains. Your impact will include: Work with Chief Technology auditor to define audit strategy to address risks associated with data governance, AI risk management, and emerging technology and infrastructure activities.  This will include ensuring compliance with global regulations.  Lead and Oversee the execution of the audit strategy coverage: Execute a global assurance plan and audit methodology for data governance, AI risk management, and emerging technology and infrastructure activities, including continuous monitoring of regulatory developments and best practices. Manage and Develop Teams: Build, coach, and maintain a high-performing global team with advanced data, AI/ML, and technology assurance skillsets; oversee talent management of offshore teams, staff evaluation, and hiring processes. Engage Stakeholders and Influence Change: Proactively manage relationships with senior management, and other stakeholders; provide insights to drive sustainable improvements in processes and controls. Deliver Audit Outcomes: Draft, review, and communicate audit findings and reports to executive management; participate in steering committees and working groups to promote balanced discussions and continuous improvement. Driving the adoption of data analytics, AI, and automation in audit testing and risk assessment to enhance assurance efficiency and insight. .  What we value Excellent analytical, written communication, interpersonal, organizational, and presentation skills. Strong client relationship and employee management skills. Ability to think strategically and multi-task in a fast-paced environment. Role model desired behaviors in cross-cultural awareness and establish and maintain a collaborative and inclusive work environment. Ability to cooperate with others and foster an environment that supports effective teamwork. Highly collaborative with strong leadership skills that gain trust and credibility with colleagues and stakeholders. Strategic mindset and ability to clearly articulate vision; ability to drive adoption and measure success of initiatives. Experience developing and maintaining relationships with multiple stakeholders, including senior management, and audit staff. Ability to manage complexity, effectively prioritize multiple tasks, and work independently in non-routine situations and in a changing environment. Strong communication, interpersonal, and leadership abilities across all levels, coupled with effective problem solving, conceptual thinking, quantitative, and analytical skills. A very high degree of professionalism, professional curiosity and skepticism, leadership, proficient organizational, analytical, and project management skills. Experience in planning and leading strategic initiatives, including employee engagement. Desire and willingness to drive to the root cause of issues. Education & Preferred Qualifications 10+ years of experience with assurance, ideally in financial services, data governance and risk management, and technology innovation as well as 2+ years of experience auditing AI Relevant bachelor’s degree in data science, Computer Science, Engineering, Technology, or other relevant fields. Postgraduate qualifications are desired but not mandatory. One industry-recognized certification (e.g., CPA, CIA, CISA, CISSP, CISM, CDMP, AAIA, AAISM or equivalent) required. Deep experience with assurance in a number of the following: Data governance, data privacy, and data protection controls; AI/ML risk management, including AI model development, validation, deployment, and monitoring; Algorithmic bias, fairness, explainability, and ethical considerations in AI systems; Data quality, lineage, and integrity across complex technology environments; Regulatory compliance related to data and AI (e.g., GDPR, CCPA, EU AI Act) Experience auditing new AI infrastructure platforms e.g. AWS Bedrock, Claude and Palantir Experience auditing infrastructure including cloud, network, compute, storage, databases Audit experience in public accounting or internal audit, focusing on regulated industries is preferred. Demonstrated experience in leading and developing diverse teams and overseeing multiple large-scale projects. Proven ability to learn innovative products and technologies and