• Architect and operationalize a system-driven, driver-based forecasting function that integrates revenue, margin, and liquidity into a single source of financial truth. • Modernize forecasting infrastructure and eliminate manual consolidation risk. • Build and maintain driver-based revenue and expense forecasting models. • Implement and refine rolling 12-month forecast framework. • Integrate CRM pipeline data into Adaptive planning environment. • Establish scenario modeling capability (base, downside, stress). • Partner with Finance to link revenue forecast to cash forecast. • Develop margin sensitivity and covenant stress modeling. • Transition existing Excel-based reporting into system-driven dashboards. • Establish KPI definitions and data governance standards. • Reduce manual flash cycle time. • Deliver clean, defensible, assumption-based financial packages. • Enable leadership to understand forward risk quickly.