Internal Audit Manager

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, Engineering, Compliance, and Legal teams

Collaborate with other Internal Audit teams 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

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 compliance audits that include one or more of the following: technology, cybersecurity, resiliency, third-party risk management, payment compliance, privacy

Demonstrated experience leading small audit teams

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)

Functional knowledge of Artificial Intelligence (traditional and Gen AI), data science, engineering systems, or emerging technologies

Experience building and maintaining partnerships with cross-functional stakeholders to align on audit outcomes and drive actionable improvements

Experience auditing within technology companies or in complex IT environments

Experience leveraging data analytics and Artificial Intelligence to streamline audit execution

Experience auditing payments compliance programs, including AML/BSA transaction monitoring, KYC and Sanctions

Experience in 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

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

At least one relevant professional certification (e.g., CISA, CIA, CISSP, CFE)