Analytics Solutions Lead, Pharma

Job Description

Job Description

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

• Bachelor’s degree, preferably  in STEM field (e.g., Science, Technology, Engineering, Mathematics) required.
• Advanced degree (Master’s in Analytics, Data Science, MPH, or MBA) preferred.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a company Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 

 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.