- Build, maintain, and refine end-to-end supply and demand forecasting models across current and upcoming market launches.
- Incorporate complex business variables into models, including session frequencies, clinician ramp times, and cross-licensing constraints.
- Evaluate unit economics and recommend operational levers to align business strategy with revenue, margin, and utilization targets.
- Partner with Data Science and Data Engineering to co-create models and transition them into core data infrastructure.
- Define, govern, and track standardized operational metrics such as capacity, utilization rates, and hiring targets.
- Perform regular forecast vs. actuals audits to refine assumptions and improve accuracy.
- Communicate strategic insights to cross-functional partners in Growth, Finance, Clinical Recruiting, and Clinical Operations.
- Identify operational bottlenecks and drive scalable process improvements across the patient lifecycle.
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