FP&A Senior Manager

About the Role

We are seeking a Member of the Finance Staff to help build DeployCo’s FP&A capabilities as the business scales. Reporting to the FP&A lead, this individual contributor will bring rigorous financial modeling, commercial judgment, and hands-on analytical execution to a growing finance team.

Your core responsibilities will be maintaining the rolling forecast and producing weekly pipeline reporting, translating changes in commercial activity, delivery capacity, and hiring into a clear view of financial performance and priorities. You will also support budgeting, management and board reporting, pricing and deal profitability analyses, strategic projects, and M&A evaluation and integration.

You will help design and build AI-enabled systems and workflows that improve the quality, speed, and repeatability of finance work. Working with Finance, Revenue Operations, GTM, Delivery, and People teams, you will turn incomplete information into well-supported assumptions, reliable models, and clear recommendations.

This role is based in New York City.

In this role, you will

• Maintain integrated rolling forecasts for the P&L, balance sheet, and free cash flow, linking commercial and operating assumptions to financial performance.
• Forecast demand and capacity for deployment professionals by role, skill set, and geography to guide hiring, staffing, and utilization decisions.
• Produce weekly pipeline reporting with Revenue Operations and GTM teams, reconciling changes in value, stage, probability, and timing to assess forecast implications and capacity planning.
• Support budgeting, long-range planning, and headcount and expense planning, explaining variances against plan and forecast and highlighting risks and opportunities.
• Build financial models, scenarios, and sensitivities to evaluate growth, unit economics, and investment decisions and inform management, board, and investor reporting.
• Support pricing and deal desk decisions through customer and project profitability analyses that assess delivery costs, commercial terms, cash implications, and economic tradeoffs.
• Support M&A evaluation, financial diligence, and integration planning, assessing business plans and synergies and tracking integration costs and performance through forecasting and reporting.
• Help design and build AI-enabled forecasting, reporting, and analytical workflows that reduce manual work and improve insights, with checks on inputs, calculations, and outputs.
• Help shape the long-term vision, organizational structure, and hiring roadmap for a growing FP&A function, while initially serving as a hands-on individual contributor.
• Partner across Finance, GTM, Delivery, People, and Data to reconcile inputs, challenge assumptions, and deliver reliable recurring analyses and clear recommendations on ad hoc questions.

You may thrive in this role if you

• Have 5-8 years of total experience and substantial modeling expertise, preferably from an investment banking or private equity environment. Rigorous corporate FP&A and finance rotational backgrounds are also welcome.
• Have advanced Excel or Google Sheets skills and build auditable models from first principles, linking operating drivers to financial statements and testing scenarios and sensitivities.
• Bring strong financial judgment across unit economics, pricing, profitability, valuation, and investment returns.
• Have demonstrated hands-on experience using AI tools for substantive financial analysis, with the judgment to verify data, calculations, and conclusions and develop repeatable workflows.
• Can structure ambiguous questions, reconcile incomplete data, document assumptions, and investigate discrepancies before drawing conclusions.
• Thrive in an ambiguous environment - Own recurring deliverables with accuracy and timeliness while balancing ad hoc requests.
• Communicate clear recommendations and tradeoffs through writing, presentations, and effective collaboration with colleagues outside finance.
• Ideally bring operating experience in budgeting, forecasting, or data analytics and translating financial plans into business decisions.
• Experience with SQL or Python is a plus but not required.