Internal Auditor, Privacy

Meta Internal Audit is at the forefront of integrating advanced technologies like Generative AI to enhance and redefine audit processes, thereby setting new industry standards for effectiveness and efficiency. These advancements significantly boost our operational efficiency and amplify our impact, pushing the boundaries of what is possible in audit efficacy. We are seeking professionals who are interested in contributing to a cutting-edge environment. We are looking for a experienced professional who possesses demonstrated technical and communication skills and who is highly effective in a rapidly changing environment. This position will be part of an integrated team that thrives on collaboration, flexibility, resourcefulness, and will closely partner with multiple teams to assess adherence with regulatory and compliance requirements. If you have a interest for technology, a commitment to continuous learning, and a curiosity that drives you to explore and innovate, we encourage you to apply.

• Participate in continuous risk assessments to update the audit strategy and audit plan according to emerging high-risk areas.
• Perform complex compliance audits and control assessments for Privacy compliance requirements including planning, execution, remediation, and post remediation validation
• Review and assess the design and operational effectiveness of internal controls within complex, proprietary technology systems.
• Deliver progress updates and audit results to Internal Audit management and cross-functional stakeholders
• Foster collaborative partnerships across Meta with Privacy, engineering, product and legal stakeholders.
• Build subject matter expertise in industry areas and stay up to date on technological and regulatory developments.
• Promote automation in completion of audit testing and innovate efficient ways to execute projects to drive continuous improvements in the delivery of internal audits
• Draft risk-based audit reports and recommendations to improve control processes to executive management that clearly present audit results
• Effectively manage the performance and integration of co-sourced audit partners to ensure unified team efforts in audit execution.

• 4+ years of experience in internal audit or consulting (Big Four accounting firms), focusing on areas such as Privacy, Technology, Information Security, AI, Model Risk, Third Party Management, Data Management, or related field.
• Bachelor's degree in Management Information Systems, Accounting, Computer Science, Engineering, Data Science, Information Security, Business, or a related field.
• Experience executing and supporting audits in areas such as technology, cybersecurity, third-party risk management, and privacy.
• Demonstrated experience with project management practices, tools, and executing audit projects through their lifecycle
• Problem-solving skills that demonstrate innovative and logical thinking to reach a solution
• Proven communication, interpersonal, and presentation skills, experience in effective interactions with business partners
• Experience executing independently in a high demand environment while managing multiple projects by demonstrating organizational, multi-tasking, and prioritization skills
• Demonstrated experience in auditing proprietary in-house-built engineering systems and corporate systems

• 4+ years of experience with internal audit execution in a technology sector, public company, and/or professional services assurance experience.
• Possession of professional auditing certifications such as CIA, CISA, CISSP, CRISC, CDPSE, Six Sigma, or PMP.
• Experience Leveraging Data Analytics/Artificial Intelligence: Previous experience using data analytics/AI to streamline audit execution.
• Experience in interacting with Engineering teams and building relationships, and delivering value to the engineering and product teams.
• Experience flourishing in an environment of fast growth and ambiguity and stay on top of business and product changes that could affect compliance requirements
• Subject matter knowledge in understanding risks/controls for in-house built systems
• Experience with SQL or other programming languages