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Responsibilities
- Lead end-to-end AI-assisted product risk and compliance audit engagements, including scoping, risk assessment, fieldwork, and reporting across Meta's product portfolio
- Develop and execute audit test plans that evaluate controls over product development processes, regulatory compliance obligations, and product governance frameworks
- 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
- Identify and evaluate emerging product risks, including risks arising from AI-integrated product features, algorithmic systems, and new product launches. Assess AI system controls to manage personal data, purpose limitation, data minimization, consent and legal basis, cross-border transfer, retention etc
- Review system documentation, AI platform configuration, model documentation, data flows, policies, procedures, control evidence, monitoring reports, and technical artifacts to identify risks and control gaps
- Collaborate with product, legal, privacy, and policy teams to align audit findings with business context and drive actionable management responses
- Present audit observations, risk themes, and recommendations to executive and senior leadership stakeholders in clear, audience-appropriate formats
- Contribute to the development of the annual product risk audit plan by identifying high-risk product areas and compliance gaps that warrant independent review
- Monitor remediation of audit findings and management action plans related to product compliance commitments
- Leverage data analytics and AI-integrated workflows to enhance audit coverage, improve testing efficiency, and surface risk signals across large product datasets
- Build and maintain trusted relationships with product and compliance stakeholders to position Internal Audit as a valued risk and control advisor
- Effectively manage relationships with Internal Audit co-sourcing partners to ensure seamless execution as one team
Minimum Qualifications
- 8+ years of audit, compliance, or risk management experience, including experience conducting audits of product risk, regulatory compliance, or technology governance at a Big 4 firm or large internal audit function
- Bachelor’s degree in Management Information Systems, Accounting, Business, Computer Science, Engineering, Data Science, or a related field
- Experience in designing and executing risk-based audit programs that assess controls over product development, compliance obligations, or data governance frameworks
- Experience communicating audit findings and risk assessments in writing to technical and non-technical stakeholders, including executive leadership
- Experience leading cross-functional audit engagements and managing work streams across multiple concurrent projects with competing priorities
- Experience applying data analytics techniques to audit testing, risk identification, or control evaluation
- 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, and privacy
- Demonstrated experience leading small audit teams
Preferred Qualifications
- Demonstrated ability to integrate AI tools to redesign audit workflows and deliver measurable improvements in audit quality or efficiency, including experience with responsible and ethical AI practices
- Experience auditing consumer technology companies, platform businesses, or organizations subject to complex product-related regulatory requirements such as privacy, content, or consumer protection regulations
- Experience leveraging data analytics and artificial intelligence to streamline audit execution
- Experience building and maintaining partnerships with cross-functional stakeholders to align on audit outcomes and drive actionable improvements
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Exposure to cybersecurity frameworks such as ISO 27001/27002/NIST, AI auditing or regulatory frameworks or agile auditing practices
- Experience in navigating and influencing within highly matrixed organizations, collaborating across departments
- 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)
- Familiarity with privacy compliance frameworks, AI governance practices, or product accountability programs relevant to large-scale consumer products
- Expertise in auditing AI, technology, complex data pipelines, and advanced computing systems
- At least one relevant professional certification, such as CIA, CISA, CIPP, AIGP, or CCEP
- Functional knowledge of AI (traditional and generative AI), data science, engineering systems, or emerging technologies
- Experience auditing within technology companies or in complex IT environments
$137,000/year to $197,000/year + bonus + equity + benefits
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