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
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
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
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
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.
Requirements
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.