When appropriate, apply or oversee advanced methods such as: Demand modeling (e.g., discrete choice / BLP-style frameworks) for benefit design, network steerage, or product features, Panel / longitudinal methods (fixed effects, random effects, generalized estimating equations) for repeated-measures outcomes, Time-to-event / survival analysis for churn, persistence, timing of utilization, or program exposure duration, Causal event-time models for phased rollouts and operational changes. The Remote Senior Director, Healthcare Analytics is accountable for building and leading the organization's program evaluation and causal analytics capability, designing and executing rigorous assessments of clinical, operational, and benefit interventions (e.g., care management, utilization management, pharmacy programs, network initiatives, supplemental benefits, and value-based arrangements).