FP&A Manager (Revenue Forecasting & Predictive Modeling)

Flywire; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Doist is seeking a Finance/FP&A Manager to partner with Sales, Marketing, Investor Relations, and Analytics. You will forecast Payment Volume, Revenue, Cost of Sales, and Gross Profit, and perform regular analyses to support leadership decisions.

The role sits in the Business Unit FP&A team reporting to the head of Business Unit FP&A. You will work with executive leadership to influence revenue growth, pricing decisions, and go-to-market performance through forecasting, modeling, and scenario

Qualifications

• Strong business and financial acumen with ability to communicate complex financial information clearly.
• Ability to manage and link operational metrics to financial outcomes.
• Experience with predictive modeling and forecasting insights to drive actions.

Responsibilities

• Own end-to-end revenue forecasting, budgeting, quarterly forecasts, and long-range plans based on key drivers.
• Conduct variance analysis for revenue and KPIs, providing actionable insights to leadership.
• Develop and maintain complex financial models for volume-based and SaaS scenarios.
• Design revenue models for transactional and SaaS revenue; project future performance under scenarios.
• Leverage SQL, Python, R, Looker to extract and visualize large financial datasets.

Skills

Financial acumen

Analytical thinking

Forecasting

Strategic planning

Tools

SQL

Python

R

Looker

Excel

Job description

The Opportunity:

We are looking for a driven and experienced Finance/FP&A Manager to join our team and act as a strategic finance partner to our Sales organization. This is a unique opportunity to sit at the intersection of finance, commercial strategy, and execution, with the opportunity to influence revenue growth, pricing decisions, and go-to-market performance. You will partner closely with Sales, Marketing, Investor Relations, and Analytics to drive insights, challenge assumptions, and help leadership make better, faster decisions. This position will be part of the Business Unit FP&A team reporting into the head of Business Unit FP&A. They will be responsible for forecasting Payment Volume, Revenue, Cost of Sales, and Gross Profit along with performing regular analysis, reporting, and will work closely with senior leadership to ensure accurate and timely reporting of financial performance.

What we are looking for:

• Strong business and financial acumen, excellent analytical and strategic planning skills, and the ability to communicate complex financial information in a clear answer concise way
• Ability to manage and understand business and operational metrics and KPIs, and establish linkage to financial and strategic outcomes
• Background in predictive modeling of complex metrics and financials, balancing the science and art of forecasting, and driving actionable results through foresight and insights from forecasting data
• Strong project management skills and demonstrated ability to lead complex cross-functional initiatives across a breadth of stakeholders
• Collaborative, diplomatic, and flexible, with excellent presentation skills, including strong oral and writing capabilities

Responsibilities:

• Own and manage the end-to-end revenue forecasting process, including development of the annual budget, quarterly forecasts (QBRs), and long-range strategic plans (LRP) based on key business drivers (e.g., customer churn, net retention rate, volume metrics)
• Proactive, strategic thinker, self starter/motivator with ability to communicate effectively with executive management
• Conduct in-depth variance analysis (actuals vs. budget/forecast) for revenue and key performance indicators (KPIs), identifying trends and providing actionable insights to executive leadership on performance drivers
• Develop and maintain complex financial models (specifically volume based transaction & SaaS) to support strategic decision-making and business cases for new initiatives or product launches
• Design and implement robust Transactional & SaaS/Subscription revenue models (e.g., based on cohorts, top clients, bookings/billings/ARR/MRR drivers) to accurately project future performance under various scenarios
• Leverage advanced data analysis tools (e.g., SQL, Python, R, Looker) to extract, manipulate, and visualize large financial datasets from disparate systems (e.g., ERP, CRM, data warehouse)
• Advanced proficiency in financial modeling in Microsoft Excel and in building presentations in Microsoft PowerPoint are required
• Advanced excel skills (macros, VBA, etc.), expertise in financial systems such as Net Suite and Adaptive
• Drive process efficiency by identifying and automating repetitive reporting tasks and financial model updates using tools like VBA, Python scripts, AI (Claude Cowork/Code, Gemini, Codex)