The FP&A team manages Meta’s entire budget of revenue and expenses, overseeing our investments in headcount, operating expenses, and capital investments etc. We focus on using our unique view into ‘the numbers’ to recognize trends and opportunities that are developing within Meta and within related industries. Meta is seeking to fill a position on the Corporate FP&A Payroll team, responsible for all facets of modeling and reporting payroll as part of financial planning and analysis. This role will report to the Payroll FP&A Lead. In this role, you will gain invaluable experience with visibility into Meta's business & operations and create impact within a dynamic Finance organization. You will be deeply involved with high-profile strategic and operational initiatives, deliver business analytics and insights, and support short and long term decisions regarding workforce planning. You will contribute meaningfully to annual budgeting, long range planning, forecasting, and related data analysis, including the evolution of our financial & business planning processes to support an increasingly complex transition to dollar-based budgeting. You will also support ad hoc projects with opportunities for broad cross-functional interactions.
Responsibilities
Key contributor providing executives with clear insights into drivers of business growth, risks, and opportunities Contribute to close, forecast, budget, and long-range planning cycles, including enhancing Meta's corporate model and coordinating with stakeholders on assumptions and inputs Develop tools to automate and streamline reporting, and create financial KPIs/metrics that help business partners and finance leaders make smart fiscal decisions Build and maintain financial models and forecasts for payroll-related expenses, including stock-based compensation Manage all FP&A facets of the Oracle EPM Workforce Planning module for forecasting and reporting Gather, consolidate, and analyze operating and financial results for all three financial statements, including preparing internal and external reporting deliverables and analyzing and explaining trends and drivers Support management, Board business, and financial planning, including presentations and key analysis requests Serve as a key liaison and partner to cross-functional teams, including Finance, HR, Compensation, Accounting, Investor Relations, IT, and other teams to drive scalable analyses and insights Drive the monthly payroll forecasting cadence, including data aggregation, template updates, and variance analysis Partner with HR/People Ops and Accounting to validate headcount data, compensation actuals, and reconcile payroll-related GL accounts Support system improvement efforts for financial reporting tools Assist with ad hoc strategic and operational projects as required
Qualifications
Advanced proficiency in financial modeling and data analysis tools Demonstrated ability to work independently and navigate ambiguity Experience in accounting concepts and financial planning 8+ years of finance or financial planning and analysis experience Experience building dynamic financial models in Excel / Google Sheets Experience with Oracle EPM or similar financial systems Strong communication skills with the ability to synthesize complex data into a concise story to present to cross-functional partners Detail-oriented with experience multi-tasking and shifting priorities quickly under pressure and tight deadlines Experience building data visualizations and dashboards to support financial reporting and decision-making Bachelor's Degree in Finance, Accounting, Business, or a relevant field Experience with financial statement analysis and a knowledge of corporate finance concepts Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience managing multiple workstreams end-to-end Consolidation experience in a large company Familiarity with HR/payroll data systems (Workday, ADP) SQL or data querying experience MBA or graduate degree in a relevant field 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 Exposure to stock-based compensation accounting or modeling