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Meta in Austin, TX is seeking a Finance/FP&A leader focused on headcount strategy to own the headcount plan and budget. You will translate plans into dollar budgets, track hiring, and explain variances to Finance leadership, while driving scalable analyses and KPI development.
You’ll support long-range planning, forecasting, and data-driven workforce decisions. The role collaborates with HR, Recruiting, Accounting, and Finance, and involves building models, automating reporting, and partnering
The FP&A team manages Meta's entire budget of revenue and expenses, overseeing our investments in headcount, operating expenses, and capital investments. We focus on using our 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 Headcount Strategy team, responsible for planning, budgeting, and managing the Company's headcount as part of financial planning and analysis. This role will report to the Headcount Strategy lead. In this role, you will own core pieces of the Company's headcount plan and headcount budget from setting and allocating headcount targets, to tracking hiring against budget, to explaining variances and their dollar impact to Finance leadership. You will drive high-profile strategic and operational initiatives, deliver business analytics and insights, and support short and long term decisions regarding workforce planning. You will own a core part of annual budgeting, long range planning, forecasting, and related data analysis, including the evolution of our financial & business planning processes to support a transition to dollar-based budgeting. You will also support ad hoc projects with opportunities for broad cross-functional interactions.
Own the Company's headcount plan, including building and refreshing headcount models across orgs
Drive the headcount budget planning process, translating headcount plans into dollar budgets and partnering with org finance leads on targets, assumptions, and inputs
Manage headcount against budget: track hires, attrition, transfers, and open requisitions against approved budget, and flag risks and opportunities early
Give executives clear insight into the drivers of headcount growth, risks, and opportunities
Contribute to close, forecast, budget, and long-range planning cycles, including enhancing Meta's headcount and corporate models and coordinating with stakeholders on assumptions and inputs
Perform variance analysis on headcount and headcount-driven expense, explaining trends and drivers to Finance and business leadership
Query, consolidate, and validate large headcount and compensation datasets, and build scalable analyses that leaders can act on
Develop tools to automate and streamline headcount reporting, and create KPIs/metrics that help business partners and finance leaders make smart fiscal decisions
Manage headcount forecasting and reporting in the Oracle EPM Workforce Planning module
Support management, Board business, and financial planning, including presentations and key analysis requests
Partner with cross-functional teams, including Finance, HR/People Ops, Compensation, Recruiting, and Accounting to drive scalable analyses and insights
Partner with HR/People Ops and Accounting to validate headcount data and reconcile headcount-driven expense
Support system and process improvement efforts for headcount planning and reporting tools
Assist with ad hoc strategic and operational projects as required
Minimum Qualifications:
4+ years of finance or financial planning and analysis experience
Experience with headcount, workforce, or capacity planning and the budgeting behind it
Advanced proficiency in financial modeling and data analysis tools
Experience building dynamic models in Excel / Google Sheets
Experience working with large datasets, including querying, reconciling, and validating data from multiple systems
Experience in accounting concepts and financial planning
Demonstrated ability to work independently and navigate ambiguity
Experience synthesizing complex data into concise narratives and presenting insights to cross-functional partners
Detail-oriented, with experience shifting priorities quickly against tight deadlines
Bachelor's Degree in Finance, Accounting, Business, Economics, or a relevant field
Preferred Qualifications:
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
Familiarity with HR/headcount and payroll data systems (Workday, ADP)
Experience with compensation or stock-based compensation modeling
Experience building data visualizations and dashboards to support financial reporting and decision-making
SQL or similar data querying experience, including working directly with large datasets
Experience with Oracle EPM or similar financial planning systems
Experience supporting headcount or workforce planning at a large, complex company
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)
Experience managing multiple workstreams end-to-end
$96,000/year to $142,000/year + bonus + equity + benefits
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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.
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