Teams at Clarify Health Solutions

Own healthcare analytics data methodology, including episode grouping, provider attribution, cost standardization, quality measures, reference data, pipelines, QA, and production delivery. Translate feature requests into specifications and validated analytics. Reconcile results, establish recurring data-quality coverage, investigate failures, and collaborate with engineering, data science, product, clinical informatics, and customer teams. Advanced SQL and healthcare claims expertise are central to ensuring accurate, defensible customer metrics.

Own components of Clarify Meridian software from concept through release. Build and prototype features, define specifications and acceptance criteria, establish quality and regression-testing standards, investigate bugs, validate fixes, and partner with engineering, analytics, clinical informatics, and commercial teams. Translate product strategy into execution, support customer-facing teams, and use data to evaluate product quality and outcomes.

Lead FP&A for an AI-first healthcare tech company: redesign and automate budgeting/forecasting, build long-range and scenario financial models for blended SaaS and outcomes-based revenue, support fundraising and M&A diligence, own ARR tracking and revenue recognition (ASC 606) mechanics, and build reporting and cross-functional financial infrastructure.