Dir, Patient Intelligence Lead

Primary Responsibilities:
- Lead the design, development, and deployment of predictive patient analytics models and products.
- Architect and build scalable, modular analytics products adaptable across company brands (not one-off analyses).
- Translate predictive models into intuitive data visualizations and actionable insights for commercial, marketing, and access stakeholders.
- Partner with Commercial Technology & Solutions, Market Engagement, Commercial AI Capabilities, Patient CoE, and Brand teams to establish data infrastructure, governance, and quality.
- Cultivate a high-performing analytics function within the DHH Patient Capabilities team; mentor data professionals and establish patient analytics best practices.

Required Experience and Skills:
- Bachelor’s degree in a quantitative field (Data Science, Statistics, Computer Science, Economics, Mathematics).
- 10+ years in advanced analytics, data science, or predictive modeling (pharmaceutical/healthcare or related).
- Hands-on experience with patient-level healthcare data (claims, EHR/EMR, specialty pharmacy, Rx/fulfillment).
- Proven ability to productize analytics into scalable, repeatable data products.
- Strong data visualization skills; translate complex data for non-technical leadership.
- Demonstrated leadership managing technical resources and driving cross-functional alignment.

Preferred Experience and Skills:
- MS or PhD in a quantitative field.
- Deep ML/AI expertise for patient behavior and commercial healthcare analytics.
- Experience in agile product teams with product managers and engineers.
- Familiarity with cloud data environments and modern data architecture (AWS, GCP).