• Design and evolve pipeline & forecast analytics across New, Expansion, and Renewal growth, applying Data-Driven Decision Making to drive measurable improvements in progression, growth, forecast accuracy, and pipeline sufficiency. • Build repeatable dashboards and automated frameworks that reduce manual effort and enable self-service insights for revenue leaders, demonstrating an AI First mindset that prioritizes automation, tooling, and scalable architecture. • Partner cross-functionally with Sales, Customer Success, Marketing, Partnerships, and Finance to identify conversion gaps, execution risks, and pipeline health issues — adapting priorities with Change Agility as business needs evolve. • Analyze cohort-based conversion trends (e.g., opportunity-to-booking, expansion attach rates) and translate findings into actionable planning, capacity, and execution implications using First Principles Problem Solving. • Support renewals and churn visibility work by helping define baselines, directional risk indicators, and forecasting inputs grounded in clear assumptions and consistent definitions. • Translate analytical outputs into concise narratives, recommendations, and tradeoffs for executive and leadership audiences to support forecast and pipeline cadences. • Contribute to sales planning activities such as quota modeling, capacity analysis, and performance diagnostics, ensuring deliverables are scalable, reusable, and grounded in principle-led analysis. • Drive standardization of inputs, definitions, and processes across regions and functions to improve consistency, data quality, and operational efficiency.