Finance Manager, Financial Planning & Analysis

Build credibility across the function. OPEX forecast and close support. Support the CSF forecast and close cycles end to end — assumption validation, variance analysis, data integrity checks, and the analysis that feeds our close and forecast decks. Partner with controllers to make sure submissions are accurate, well-understood, and land on time. People cost analytics. Own analysis of the largest driver of CSF spend. Evaluate key people cost drivers, build and maintain cost-per-head views by geography, role type, and level, and explain what's moving and why across payroll, stock compensation, signing bonuses, and relocation. Organizational hygiene and headcount insights. Analyze organizational shape across CSF — pyramid, span of control, organization depth — and translate that into insight leaders can act on. Bring the "so what" to headcount trends, hiring activity, and the drivers behind people spend. Allocated Azure and Non-GWS CAPEX. Own the allocated Azure forecast and the non-GWS CAPEX forecast for G&A (General & Administrative) functions across CSF, including actuals review, variance explanation, and forward-looking outlook. Process improvement and automation. Bring a modernization mindset to everything you touch. Identify where reporting and analysis can be standardized, automated, or AI-enabled, and lead those improvements — partnering with our tools and engineering partners where the solution is more complex. Flexible team support. Support the broader central FP&A team on ad hoc analysis and special projects. This team moves, priorities shift, and the people who thrive here lean in where they're needed. Embody our culture and values Highly analytical, with structured thinking and solid attention to detail. Energized, genuine curiosity, and a growth mindset — you ask why, and you keep learning. Self-starter who operates well with ambiguity and doesn't wait to be told what to analyze. Solid communication skills with the ability to make complex financial data land with a non-finance audience. Collaborative and flexible — works well across teams and steps up on shared priorities. Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership, finance, or related field OR equivalent experience. Masters Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 3+ years of post-graduate financial analysis, accounting, controllership or finance work experience OR Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 5+ years of post-graduate financial analysis, accounting, controllership or finance work experience OR equivalent experience. Demonstrated interest or hands-on experience applying AI and automation to finance processes - building agents, automating reporting, or eliminating manual steps. Experience with headcount, people cost, or workforce analytics. Experience in a matrixed, multinational organization, or in the technology or software industry. Experience with enterprise planning and reporting systems.