Governance Risk & Control Manager

Meta is seeking a Governance Risk & Control Manager to join our Finance Governance Center of Excellence. The CoE's mission is to enable Meta's Finance organization to scale durably – absorbing and accelerating a significant volume of technology and AI investment while keeping a strong, well-understood control environment.You will lead a team of risk and controls professionals who partner with Finance Business Process Owners, Enterprise Products, and Internal Audit to assess and mitigate systems and process risks. Central to this role is managing systems risk, which encompasses ITGCs, SOX readiness across financial systems and data pipelines, access control, and change management. It involves overseeing automated controls within key financial reporting platforms, all anchored by a deep understanding of underlying finance processes.As Meta's Finance AI governance framework matures, you and your team ensure that stakeholders across Finance understand what the requirements mean in practice and apply them consistently across diverse initiatives, allowing teams to move quickly with compliance designed upfront rather than retrofitted.This is a leadership role with hands-on expectations: you will develop the team while remaining directly involved in the most complex and ambiguous assessments. Governance Risk & Control Manager Responsibilities: Manage, coach, and develop a team of risk and controls professionals by setting clear priorities, allocating risk-based coverage, holding a consistent quality bar, and growing people to cover more than one domainOwn team's health and hiring: diagnose issues early from feedback, engagement, and delivery signalsrecruit, interview, and onboard strong talentStay hands-on in the most complex and ambiguous assessments, modeling the technical depth expected of the teamLead ITGC and end-to-end SOX readiness assessments, including access and segregation of duties, change management, job monitoring, and data qualityAssess the control impact of new systems, migrations, automation, and AI-enabled workflows, and design mitigating controls that are system-enforced and preventive wherever possibleFacilitate walkthroughs and technical deep-dives, producing data flow diagrams and system architectures views that surface key process and system risksBuild data-driven risk sensing and continuous controls monitoring to provide continuous assurance that our controls are operating effectively at all timesTranslate technical findings into clear risk, root cause, and impact narratives for senior finance and cross-functional leadership, and drive remediation to closureEducate Finance and Enterprise Products stakeholders on governance requirements and drive consistent application across a diverse portfolio of initiatives, building the enablement assets that make compliance self-service where possible — playbooks, standards, guidance, and trainingContribute to Meta's Finance AI governance work as a subject matter partner and represent the CoE in cross-functional governance forums Minimum Qualifications: 8+ years of experience in IT/systems risk management, IT or internal audit, SOX compliance, or risk advisory, including integrated (process and system) auditsExperience managing and developing a team of risk, audit, or business systems professionals across multiple concurrent work streams, or demonstrated experience leading engagement teams and formally developing othersDemonstrated ability to identify risks and design, implement, and test controls to meet compliance requirements, with emphasis on control design and advisory rather than testing aloneWorking proficiency with SOX 404, COSO, COBIT, ITGC, and IT security and risk management standardsExperience assessing risk in financial systems (ERP packages such as Oracle, SAP, and/or homegrown platforms), including data flows, integrations, and automated controlsUnderstanding of core finance business processes (e.g., source-to-pay, order-to-cash, month-end close, payroll, treasury) and how system risks affect themExperience communicating risk and technical trade-offs in writing and in person to technical and non-technical audiences, including senior leadershipExperience operating in an environment with ambiguity and no existing playbook in a fast-moving, cross-functional environmentBachelor's degree in Accounting, Management Information Systems, Computer Science, or a directly related field, or equivalent practical experience Preferred Qualifications: Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience scaling a governance or compliance function, including building training and enablement for non-specialist stakeholdersDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience with SQL and data visualization tools (Tableau, Power BI, etc.) for risk sensing and continuous monitoringExperience in Big Four public accounting and in-house at a high-tech or platform companyExperience applying governance or control requirements to AI/ML, generative AI, or automation in a financial or regulated contextProficiency in executing both business process and system risk assessments About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. $152,000/year to $214,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.