Company Description

Visory Health is reshaping healthcare by leading the market shift toward cash-access healthcare solutions. The organization builds proprietary technology, analytics, and consumer engagement platforms that help individuals obtain lower-cost prescription medicines. By focusing on affordability and accessibility, Visory Health aims to empower healthcare consumers with clear, data-driven options. Team members collaborate across disciplines to innovate and scale products that reduce costs and improve the patient experience. Role Description The Vice President of Pharma Analytics is a full-time remote role. This leader oversees the end-to-end analytics function, including data strategy, data governance, and advanced analytical modeling to support key business decisions. Day-to-day responsibilities include directing the development of analytics frameworks, overseeing the design and implementation of dashboards and reports, and guiding teams in analyzing complex datasets related to healthcare utilization, pricing, and consumer behavior. The role collaborates closely with executive leadership, product, finance, and operations to translate insights into actionable strategies that drive growth, efficiency, and improved access to affordable prescriptions. This position also involves mentoring analytics professionals, establishing best practices, and ensuring compliance with relevant data privacy and security standards.

Qualifications

Strong analytical skills, with the ability to interpret complex data and communicate clear insights. Expertise in data analytics and analytics tools, including experience with modern BI platforms and data visualization. Solid grounding in statistics, including hypothesis testing, predictive modeling, and experimental design. Experience in pharma economics and economic modeling to support pricing, projections, and ROI analysis. Proven leadership in building and managing analytics teams and establishing analytics strategies. Background in healthcare, pharmacy, or related industries is highly beneficial. Advanced proficiency with SQL and one or more programming languages commonly used in analytics (e.g., Python, R). Excellent communication and stakeholder management skills, with experience influencing senior leadership. Master’s degree in a quantitative field (e.g., Statistics, Data Science, Economics, Finance, Engineering) or equivalent experience.