Internal Audit Manager

Internal Audit Manager Responsibilities:

• Develop comprehensive audit scopes, test plans, and risk assessments
• Lead end-to-end audit engagements from planning through reporting and follow-up
• Execute technology focused audits covering Meta’s products and core technology infrastructure stack
• Leverage analytics tools (e.g., SQL/BI platforms and dashboards) to efficiently conduct data analysis, generate reports, and deliver timely, actionable insights to stakeholders
• Manage small audit teams consisting of contingent workers
• Socialize observations and obtain alignment on management action plans
• Serve as the primary point of contact with engineering, security and product stakeholders for assigned audits
• Present audit findings and recommendations to Executive stakeholders
• Maintain ongoing professional relationships with key business partners across Product and Engineering teams
• Collaborate with other Internal Audit functional leads to execute the department’s strategy and coordinate cross-team audit projects and initiatives
• Effectively manage relationships with Internal Audit co-sourcing partners to ensure seamless execution as one team

Minimum Qualifications:

• Bachelor’s degree in Management Information Systems, Accounting, Business, Computer Science, Engineering, Data Science, or a related field
• 7+ years of audit experience at Big 4 accounting firms and/or medium-to-large internal audit functions
• Demonstrated background in both operational and IT audits that includes one or more of the following: technology, cybersecurity, resiliency, third-party risk management, privacy
• Demonstrated experience leading small audit teams

Preferred Qualifications:

• Experience auditing within technology companies or complex IT environments
• Experience leveraging data analytics and Artificial Intelligence to streamline audit execution
• Experience of navigating and influencing within highly matrixed organizations, collaborating across departments
• Expertise in auditing AI, technology, complex data pipelines, and advanced computing systems
• Exposure to cybersecurity frameworks such as ISO 27001/27002/NIST, AI auditing or regulatory frameworks or agile auditing practices
• Functional knowledge of Artificial Intelligence (traditional and Gen AI), data science, engineering systems, or emerging technologies
• Demonstrated relationship-building skills, establishing trust and delivering substantial business value
• At least one relevant professional certification ( CISA, CIA, or CISSP)

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