Manager, Revenue Forecasting & Analytics

What You'll Do

• Lead, coach, and develop a team of Financial Analytics Engineers, setting priorities, driving execution, and fostering a high-performing, accountable culture.
• Own the company's forecasting methodology across revenue, spend, net revenue, and company planning, continuously improving forecast accuracy and consistency.
• Design, build, and evolve driver-based forecasting models that support executive decision-making, long-range planning, and scenario analysis.
• Continuously identify gaps in data, systems, and business processes that limit forecasting accuracy or scalability, and lead cross-functional efforts to resolve them.
• Influence stakeholders across Finance, Revenue, Operations, Data, and Engineering to implement process improvements, improve data quality, and strengthen the systems that power forecasting.
• Lead the evolution of forecasting from spreadsheet-driven processes to scalable planning platforms and repeatable workflows.
• Partner with Engineering to operationalize forecasting models within modern data platforms and planning tools.
• Establish governance, documentation, and feedback loops that measure forecast performance, identify root causes of variance, and drive continuous improvement.

What You'll Bring

• 8+ years of experience in financial forecasting, strategic finance, financial analytics, or business planning within a modern SaaS, fintech, advertising technology, or other high-growth technology company.
• 4+ years of people management experience, with a proven track record of building, coaching, and developing high-performing technical or analytics teams.
• Deep expertise building forecasting models for revenue, spend, net revenue, and long-range planning in a technology business.
• Strong understanding of SaaS and technology business metrics, unit economics, financial statements, and forecasting methodologies.
• Demonstrated ability to identify root causes behind forecasting or planning challenges and drive improvements to business processes, systems, or data quality.
• Proven success influencing cross-functional stakeholders without direct authority to implement operational or technical change.
• Experience with enterprise planning platforms such as Adaptive Planning, Anaplan, Pigment, or similar forecasting tools.
• Comfortable using SQL to validate and explore data; deep analytics engineering expertise is not required.

What Success Looks Like

• Forecast accuracy improves because you've systematically identified and resolved the underlying data, process, and systems gaps—not just refined forecasting models.
• Revenue, spend, and company forecasts become trusted inputs for executive decision-making because assumptions are transparent, methodologies are consistent, and business inputs are reliable.
• Cross-functional teams adopt new processes and system improvements that strengthen the quality, consistency, and timeliness of forecasting inputs.
• Forecasting evolves from a spreadsheet-driven exercise into a scalable planning capability supported by modern systems, reliable data, and repeatable workflows.
• Your team is recognized as a trusted strategic partner, proactively identifying risks, surfacing opportunities, and driving improvements across Finance, Revenue, Operations, Data, and Engineering.