Vice President Data Insights - Healthcare

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company’s flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. POSITION SUMMARY The Director / VP, Insights to Action will serve as the founding senior leader of the ITA function — responsible for both the analytical quality and the organizational build-out of a small, high-impact team. This is a player-coach role: the successful candidate will personally execute analytical work alongside three Data Scientists, maintaining deep individual contribution while also setting standards, developing team members, and managing client relationships. The role requires an individual who combines quantitative rigor with strong communication skills and fluency in the US specialty pharmacy and pharmaceutical manufacturer ecosystem. The Director / VP will interface regularly with both internal and external stakeholders spanning market access, patient services, and commercial leadership, translating complex analytical findings into clear, actionable narratives. KEY RESPONSIBILITIES Team Leadership & Development Lead, mentor, and develop a team of three Data Scientists; this is a player-coach role — the expectation is sustained personal analytical output alongside team management responsibilities Set and maintain analytical standards, review team work product, and allocate capacity across concurrent client engagements Contribute to hiring, onboarding, and capability development as the function scales Client Delivery & Engagement Own end-to-end delivery of program analytics for assigned pharmaceutical manufacturer clients, including quarterly business review (QBR) preparation, ad hoc analyses, and ongoing insight production Serve as the primary analytical point of contact for senior client stakeholders; present findings to market access leaders, patient services teams, and executive sponsors Partner with the Commercial team on analytical content for renewals, new business proposals, and strategic account planning Analytical Frameworks & Insight Generation Define and maintain a standardized KPI framework for hub program performance spanning six key pre-defined families Lead proactive, hypothesis-driven analysis across patient throughput, stage conversion rates, payor dynamics, HCP-level behavior patterns, adherence trajectories, and financial program utilization Translate analytical findings into executive summaries, trend narratives, and operational recommendations formatted for manufacturer client audiences Data Infrastructure & Productization Collaborate with data engineering, Master Data Management (MDM), and BI architecture teams to define data requirements and ensure the analytical inputs underlying ITA are reliable, consistently defined, and properly governed Guide the progressive migration of validated ad hoc analyses into productized ThoughtSpot dashboards, contributing to the company’s long-term self-service analytics strategy Identify and help resolve upstream data quality and governance issues that affect insight reliability Commercial & Strategic Support Support the commercial positioning of the ITA capability in coordination with Business Development leadership, including input to RFP responses, pricing discussions, and go-to-market materials Contribute to defining the ITA product roadmap — the progression from ad hoc delivery to a scalable, monetizable analytics offering REQUIRED QUALIFICATIONS 7–10 years of progressive experience in healthcare analytics, with direct and substantive experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM) Demonstrated experience managing or leading a small analytics team; player-coach orientation is essential — this role requires sustained personal contribution alongside people management Advanced proficiency in SQL; hands-on experience querying and manipulating data in cloud data warehouse environments (Snowflake strongly preferred) Proficiency in Python or R required; Python preferred (pandas, numpy, scipy, scikit-learn) Experience with ThoughtSpot or Power BI preferred Strong working knowledge of statistical methods applicable to program analytics: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based performance metrics, and experimental design and A/B testing frameworks Demonstrated ability to communicate complex analytical findings to senior non-technical stakeholders; strong written and verbal presentation skills Bachelor’s degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree preferred PREFERRED QUALIFICATIONS Direct experience with pharmaceutical hub program operations, including case management workflows, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs Familiarity with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing systems, benefits verification platforms) Experience with patient access or market access analytics at a pharmaceutical manufacturer, including program performance tracking and payor dynamics analysis Background in pharma consulting with a focus on analytics, commercial operations, or market access strategy Experience at a health insurer or PBM in a role involving formulary analytics, utilization management, specialty drug analysis, or patient access reporting Experience developing or contributing to a commercial analytics product or client-facing insights offering Familiarity with generative AI applications in analytics workflows (e.g., natural language querying, synthetic data generation, entity resolution) Familiarity with dbt or similar data transformation frameworks