Lead AI & Technology Risk Auditor

About the role

The Lead AI & Technology Risk Auditor is a senior-level audit professional who leads complex audits in high-risk or emerging technology domains, with a particular focus on artificial intelligence, generative AI, and data-driven systems.

Responsibilities

• Independently lead complex, agile technology and business audits with objectivity, applying advanced project management skills to guide scrum teams, manage timelines, identify blockers, and ensure timely resolution of audit issues.
• Manage the creation and execution of audit programs, including drafting testing plans and acceptance criteria, performing walkthroughs, identifying controls, and executing testing procedures for complex processes with limited guidance.
• Apply critical thinking, data analytics, and AI-assisted audit techniques to evaluate evidence, identify root causes, assess risk levels, and recommend control enhancements or process improvements. Leverage tools such as Python, SQL, or visualization platforms where appropriate.
• Communicate effectively with audit clients through sprint reviews that communicate early observations, refine direction, and align with stakeholder priorities and audit reports that clearly communicate findings, risks, and actions.
• Build and maintain strong, trust-based relationships with IT and business leaders, and actively support Internal Audit's relationship management efforts across the enterprise.
• Provide coaching and feedback to audit team members, supporting their development in areas such as control identification, test execution, documentation, AI literacy, data analytics adoption, and strategic thinking.
• Assess controls over the development, deployment, and monitoring of generative AI and large language model (LLM)-based applications, including prompt engineering safeguards, output validation, hallucination risk, data privacy in training sets, and third-party AI service provider oversight.
• Support department initiatives (process improvement, change leadership, functional expertise) and advance AI, automation, and analytics (e.g., continuous monitoring, document review, predictive risk scoring) to improve audit quality, coverage, and efficiency.
• Stay current on evolving AI regulatory requirements, industry standards, and risk frameworks (e.g., NIST AI Risk Management Framework, IEEE AI ethics standards, and applicable state/federal AI legislation) and incorporate them into audit planning and testing.

Requirements

This role requires a strategic thinker who can develop internal and leverage external networks, apply sound judgment, and deliver high-quality audit results. The Lead AI & Technology Risk Auditor takes personal accountability to ensure audits are performed with proficiency and plays a vital role in developing future audit leaders by providing coaching, guidance, and effective delegation.

Qualifications

• 5 or more years of experience
• 1 or more years of experience auditing, implementing, or assessing AI/ML systems, data governance frameworks, or advanced analytics platforms (Preferred)

Skills

• Advanced Analytics
• Agentic AI
• Data Analytics
• Artificial Intelligence (AI)
• Audit Execution