Build self-service scenario, decomposition, and what-if tools with monthly and multi-year views by workload, region, theater, and cohort, helping Product and Finance leaders understand forecast beats or misses, compare base and stretch cases, and quantify the actions required to achieve revenue targets. Partner closely with Product Finance, Product Data Science, Finance Data and Analytics, Analytics Engineering, Product, and go-to-market teams to resolve data gaps, validate assumptions, and incorporate high-quality business context.