Finance and Business Planning (FBP) is Meta's strategic finance organization, responsible for helping the company plan, prioritize, and allocate resources at the highest level. We are true partners and financial advisors to our business partners, working together to solve the toughest business challenges and operating with an objective perspective. We are seeking a Finance Business Operations Manager in the Marketing Finance team who wants to shape the future of Meta's business marketing organization. In this role, you will partner closely with Business Marketing executives, acting as a trusted financial advisor and owning shared business goals. This role requires strategic thinking, building connections and influencing stakeholders through effective communication, an analytical mindset, and a bias towards action. You will be challenged to understand and contribute to rapidly changing business models, drive collaboration across teams, develop recommendations on strategic investment decisions, craft annual and long-term plans, and partner with marketing and business leaders to solve problems and achieve goals.

Responsibilities

Manage financial planning, budgeting, forecasting, and long-range planning for the Business Marketing organizations
• Provide analytic support and develop actionable insights that will influence key decisions across the organization
• Advance the thinking on measuring marketing channels, revenue drivers, and informing marketing spend allocation
• Conduct analyses to drive sound investment decisions, such as return on marketing spend and LTV frameworks
• Create business partnerships with leaders of all levels and functions across marketing, product growth, and decision science teams
• Collaborate with central and horizontal Finance and Business Planning (FBP) teams to improve or automate core processes and drive adoption of AI tools internally
• Prepare VP and CFO-level financial review materials that translate complex marketing spend data into clear, executive-ready narratives on performance, risks, and opportunities
• Develop and maintain financial models to evaluate the impact of marketing investment scenarios, campaign launches, and organizational changes on overall spend trajectory
• Proactively surface financial risks and opportunities to marketing and finance leadership, providing data-driven recommendations to support decision-making

Minimum Qualifications
• 7+ years of experience in Strategic Finance, FP&A, Business Operations, or related analytical organizations demonstrating increasing levels of responsibility
• Bachelor's degree in Economics, Finance, Math, Statistics, Engineering, Computer Science, or related discipline
• Experience manipulating data sets and working with system and analytics tools (e.g., Hyperion, SQL)
• Experience building trusted business partner relationships at increasingly executive levels, influencing decisions, and driving alignment on financial targets
• Experience communicating financial analysis in writing and verbally to technical and non-technical stakeholders, including presenting to senior leadership

Preferred Qualifications
• Experience building relationships and communicating with stakeholders across all levels and functions
• MBA, CPA, or CFA designation
• Experience integrating AI tools into financial planning and analysis workflows to improve forecast accuracy, accelerate scenario modeling, or automate reporting processes
• Experience in Go-to-Market, marketing, marketing finance, or digital advertising domains
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with ROI and LTV (Lifetime Value) frameworks to optimize marketing investments
• Experience directly partnering with executive leadership teams in a high-growth or rapidly evolving business environment
• 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)