Technology Audit Manager

Meta's Internal Audit offers experienced auditors the chance to leverage cutting-edge technology, including RPA and AI, to drive impactful audits. You'll work in a fast-paced, innovative environment, collaborating with top talent to shape risk management and add value across Meta's global operations., 1. Lead end-to-end audit engagements from planning through reporting and follow-up

2. Develop comprehensive audit scopes, test plans, and risk assessments
3. Manage small audit teams consisting of contingent workers
4. Execute technology-focused audits covering IT general controls, system implementations, and operational processes
5. Assess risks and controls within Enterprise Engineering infrastructure and Global Workplace Systems
6. Evaluate effectiveness of risk management, internal controls, and governance processes
7. Serve as primary point of contact with business stakeholders for assigned audits
8. Socialize observations and obtain alignment on management action plans
9. Present audit findings and recommendations to Executive stakeholders
10. Maintain professional relationships across technology and workplace systems organizations

1. 9 + years of audit experience at Big 4 accounting firms and/or medium-to-large internal audit functions
2. Bachelor's degree in Computer Science, Information Systems, or related field
3. Demonstrated background in both IT audit (ITGC, system controls) and operational audit methodologies
4. Demonstrated experience leading small audit teams, 1. Experience auditing technology companies or complex IT environments
5. Knowledge of enterprise systems, workplace technology solutions, and engineering processes
6. Familiarity with agile audit methodologies and data analytics tools
7. Automation experience (e.g., UI Path, Python, Alteryx)
8. At least one relevant professional certification ( CISA, CIA, or CISSP)
9. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
10. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
11. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies