Vice President - Healthcare Data Insights ( Hybrid / New York Metro )

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.

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
• Proactively lead 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