• Lead the annual and quarterly sales planning processes including territory design, account allocation, segmentation, and quota/compensation modeling. • Develop frameworks and models that help Sales leadership evaluate tradeoffs, optimize coverage, and accelerate sales. • Build data-driven recommendations on sales productivity, headcount planning, and capacity modeling. • Maintain a high bar for data quality across Salesforce, DOMO, Snowflake, and related systems. • Manage recurring sales operations deliverables such as budget sheets, account reallocations, compensation reporting, and national sales call decks. • Audit and maintain key account data (hierarchies, inactive/OOB dealers, brand assignments, etc.). • Prioritize and respond to ad hoc reporting and insights requests from sales leaders and cross-functional partners. • Serve as the go-to resource for day-to-day operational questions, data issues, and reporting needs. • Identify manual operational steps that hinder scale and implement automation where it improves accuracy, consistency, or speed. • Collaborate with Data Engineering and IT to optimize system integrations and reporting pipelines (Salesforce → DOMO → Sheets, etc.). • Build and maintain dashboards that provide visibility into sales performance, account health, and compensation. • Document standardized processes to ensure repeatability and long-term scalability. • Partner with Marketing to connect marketing automation to sales execution and track full-funnel performance. • Develop dashboards and analyses that illuminate key KPIs, pipeline health, regional performance, and sales productivity drivers. • Analyze compensation effectiveness, territory performance, and sales behaviors to identify opportunities for improvement. • Partner with Finance on forecasting accuracy, budgeting, and ROI measurement for campaigns and promotions. • Present insights and strategic recommendations to Revenue and Sales leadership. • Work directly with leaders in Sales, Marketing, Finance, and Analytics to translate business needs into scalable operational solutions. • Collaborate with IT and Analytics teams to improve data structure, governance.