Commercial Strategy & Analytics Manager

Leap expects to more than double its covered lives in 2027, and the analytics behind both what we buy and what we sell need to scale with it. As Commercial Strategy & Analytics Manager, you'll build analytics and models for our Networks team, from creating drug prioritization frameworks scoring bids from specialty pharmacies, manufacturers, infusion providers and nursing agencies to building the models that guide partner selection, member routing and volume commitments. You'll also become an expert in our Impact Analysis framework, helping our most strategic buyers understand the value of Leap and keeping the partner story and the employer savings story tied to the same numbers. This role reports into the Director of Business Operation and works closely with the Networks, Manufacturer, Growth, Engineering and Data teams.

Responsibilities

Score bids and rate cards from specialty pharmacies, manufacturers, infusion providers and nursing agencies against Leap's price targets and turn results into negotiation feedback; Build prevalence and volume models from claims and membership data to project demand by drug, therapeutic area and region; Build geographic capacity models showing infusion center and nursing coverage gaps and where to expand; Build the case for drug manufacturers on members, volume and sites of care Leap brings; Define requirements for 2027 buy-side tools and partner with Engineering to ship them; Run those tools day to day and improve their accuracy and speed; Replace recurring manual analysis with AI-enabled workflows other teams can run; Partner with the enterprise sales team on strategic deals and tailored prospect analyses; Run Leap's Impact Analysis tooling and build analyses for benefits leaders at large US employers; Build templates, frameworks and tools that let sales deliver strong proposals at scale; Find patterns across the book of business on drugs and categories that drive consistent savings; Explore pricing model tradeoffs between client savings and network pricing movements; Help prioritize drug and network efforts that accelerate growth across client segments; Deliver CEO-level recommendations on investment and partnership decisions

Requirements

4-8+ years of experience in analytics, strategy or a similarly quantitative role; Track record of building rigorous analyses and models from scratch, including in Excel; Hands-on experience using AI and agentic tools to build and scale analyses; Ability to take messy data, find the insight and communicate it as a clear recommendation; Confidence presenting recommendations to executive audiences (internal and external); Experience building scalable tools or processes in partnership with product or engineering teams

Nice to have

Background in Management consulting (ideally life sciences) or investment banking, or analytics and strategy at a drug manufacturer, PBM, specialty pharmacy or health tech company; Experience in healthcare delivery, specialty pharmacy or drug pricing; Hands-on experience with healthcare claims data