• Define and own Omada’s end-to-end enrollment forecasting operating model—setting objectives, methodologies, input standards, and core assumptions with limited input—and drive alignment on these choices across Commercial, Finance, and Care leaders, including for new programs such as GLP-1 for weight management. • Build, refine, and maintain forecasting models and analytical frameworks that integrate data from Salesforce and other internal systems, enabling scenario analysis, sensitivity testing, and drill-downs by customer, segment, and product. • Own the commercial forecasting data model end-to-end—writing complex SQL queries and guiding stakeholders on how pipeline, product, and channel data must be structured and tagged in Salesforce and other systems to support reliable, efficient analysis. • Partner with Sales, Marketing, and Finance to define and operationalize forecast drivers, inputs, and metrics, ensuring assumptions are documented, transparent, and consistently applied. • Collaborate with care teams (coaching, member support, supply chain) to connect commercial forecasts to operational capacity and resource planning, providing analytical insights that support proactive decision-making. • Establish and facilitate recurring governance routines (e.g., forecast reviews, variance analyses, assumption updates) that drive accountability, transparency, and continuous improvement in forecast accuracy. • Create and deliver clear, compelling forecast outputs and decision views for senior leadership and functional owners, directly informing investment decisions, care capacity plans, and GTM tradeoffs. • Lead department-level transformation of forecasting data pipelines, tools, and processes—designing scalable, standardized structures and stakeholder behaviors that materially upgrade how Omada forecasts and plans across Commercial and Care Teams.