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.

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 domain
Own team's health and hiring: diagnose issues early from feedback, engagement, and delivery signals; recruit, interview, and onboard strong talent
Stay hands-on in the most complex and ambiguous assessments, modeling the technical depth expected of the team
Lead ITGC and end-to-end SOX readiness assessments, including access and segregation of duties, change management, job monitoring, and data quality
Assess the control impact of new systems, migrations, automation, and AI-enabled workflows, and design mitigating controls that are system-enforced and preventive wherever possible
Facilitate walkthroughs and technical deep-dives, producing data flow diagrams and system architectures views that surface key process and system risks
Build data-driven risk sensing and continuous controls monitoring to provide continuous assurance that our controls are operating effectively at all times
Translate technical findings into clear risk, root cause, and impact narratives for senior finance and cross-functional leadership, and drive remediation to closure
Educate 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 training
Contribute to Meta's Finance AI governance work as a subject matter partner and represent the CoE in cross-functional governance forums

Qualifications

8+ years of experience in IT/systems risk management, IT or internal audit, SOX compliance, or risk advisory, including integrated (process and system) audits
Experience 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 others
Demonstrated ability to identify risks and design, implement, and test controls to meet compliance requirements, with emphasis on control design and advisory rather than testing alone
Working proficiency with SOX 404, COSO, COBIT, ITGC, and IT security and risk management standards
Experience assessing risk in financial systems (ERP packages such as Oracle, SAP, and/or homegrown platforms), including data flows, integrations, and automated controls
Understanding of core finance business processes (e.g., source-to-pay, order-to-cash, month-end close, payroll, treasury) and how system risks affect them
Experience communicating risk and technical trade-offs in writing and in person to technical and non-technical audiences, including senior leadership
Experience operating in an environment with ambiguity and no existing playbook in a fast-moving, cross-functional environment
Bachelor's degree in Accounting, Management Information Systems, Computer Science, or a directly related field, or equivalent practical experience 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 stakeholders
Demonstrated 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 technologies
Experience with SQL and data visualization tools (Tableau, Power BI, etc.) for risk sensing and continuous monitoring
CPA, CIA, CISA, or CRISC
Experience in Big Four public accounting and in-house at a high-tech or platform company
Experience applying governance or control requirements to AI/ML, generative AI, or automation in a financial or regulated context
Proficiency in executing both business process and system risk assessments