Analytics Solutions Lead, Pharma

Location: New York, NY (On-site) \u007C Pay Range: $142,140 – $284,280

Position Summary

Our client, a Fortune 500 healthcare company, is hiring an Analytics Solutions Lead within their Analytics & Behavior Change (A&BC) organization. A&BC works to solve some of the most challenging problems at the intersection of technology and healthcare — leveraging advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth and improve health outcomes for 100 million customers.

In this role, you will serve as a strategic partner to internal and external stakeholders, translating business needs into actionable data science requirements and delivering high-impact analytical solutions. You will lead consulting engagements, manage data science pods, and craft compelling analytical narratives that influence executive decision-making.

Key Responsibilities

• Translate business needs into clear, actionable data science requirements

• Manage data science pods to implement analytical models tailored to pharmaceutical customer needs (predictive modeling, machine learning, etc.)

• Apply strong analytical capabilities in Excel and BI tools (Power BI, Tableau) to translate modeling outputs into client-ready deliverables

• Coordinate cross-functional program delivery across internal stakeholders to integrate existing capabilities into new customer-facing analytics solutions

• Draft, refine, and deliver analytical stories to internal and external executive audiences

• Partner with Product Management to relay customer insights and influence roadmap prioritization

• Scope work plans, build delivery timelines, and plan resources for analytical consulting engagements

• Identify project opportunities from data and analytics discovery and surface them to business partners

• Work cross-functionally with product partners to standardize and accelerate analytics reporting outcomes

Required Qualifications

• 5 years in Consulting, Program Management, Business Operations or Strategy

• 3 years in analytics or management consulting, delivering executive-level presentations and strategic recommendations

• 3 years with data visualization and manipulation in Excel; exposure to Tableau / Power BI

• 2 years working with Data Science or Data Engineering teams, translating between technical and business stakeholders for healthcare analytics

• 2 years of program management for complex, multi-stakeholder initiatives

• 2 years building executive-grade PowerPoint presentations

• 1 year in healthcare, preferably pharmaceutical / life sciences (commercial, clinical, or market access analytics)

Preferred Qualifications

• Familiarity with medical and pharmacy claims data

• Demonstrated proficiency in SQL

• Exposure to predictive modeling, ML, or advanced statistical techniques on healthcare datasets

• Strong verbal and written communication; able to craft compelling narratives from complex data