Finance and Business Planning is a highly mission-driven organization. Our mission is to enable Meta to plan, prioritize, and execute as effectively as possible. We take a uniquely long-term view towards business problems. It is critical that we operate with an independent and objective perspective and can represent our point of view to our partners and executive stakeholders. We serve as financial advisers to our business partners and own shared business goals and results where appropriate. We strive to balance our responsibility to support business partners with our responsibility to serve the long-term mission and sustainability of Meta and act as stewards of the company's resources. This role requires strategic thinking, influencing stakeholders through written proposals, data-driven presentations, and cross-functional alignment, 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 leaders to solve problems and achieve goals. In this role, you will take on significant responsibility, work directly with product and business leaders, and contribute to decisions that shape Meta's business strategy.

Qualifications:

9+ years of experience in business strategy, finance, analytics, consulting, or planning BA/BS in a quantitative field (data science, computer science, economics, finance, etc.) or an equivalent degree/experience Experience in data analytics, data visualization, and scenario-based analysis Experience leading cross-functional projects with executive stakeholders Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 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) Experience independently scoping and driving cross-functional initiatives from problem definition through execution Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience working directly with sales executives Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience working in a complex, fast-paced environment or in a high-growth company