Director, Healthcare Economics

• Lead end-to-end analytical work streams to model, test, and refine Lantern's fee structure options, including performance-based, risk-sharing, and hybrid pricing approaches
• Synthesize claims data, utilization trends, and payer/employer contract structures to identify the most defensible revenue model
• Develop scenario models and sensitivity analyses to project financial outcomes under different pricing configurations and market conditions
• Identify and answer high-priority questions from employers, benefits consultants, health plans, and broker channels
• Build analytical counter-narratives and evidence packages for the commercial sales team
• Partner with the President of Lantern's commercial division to align analytical outputs with sales cycles and pipeline priorities
• Serve as primary relationship manager with strategic data partners, including Merative and Artemis Health
• Identify, scope, and execute data collaboration opportunities
• Negotiate data access agreements and co-development arrangements with legal and leadership teams
• Develop and drive a publication roadmap targeting high-credibility medical, healthcare, and benefits outlets
• Author or co-author white papers, research briefs, and commentary pieces with external entities
• Own the publication lifecycle from ideation and data analysis through manuscript development, peer review coordination, and dissemination
• Defend analytical output as a market-facing leader in research and innovation with Analytics, Marketing, and Commercial Sales Leadership
• Translate complex analytical questions into structured workplans with hypotheses, data requirements, and timelines
• Present findings to executive leadership, commercial sales leadership, and external stakeholders
• Identify gaps in Lantern's data infrastructure and recommend improvements

• 8+ years of experience in healthcare analytics, health economics, actuarial science, or a closely related field
• Demonstrated expertise working with large, complex claims datasets (medical, pharmacy, surgical); direct experience with healthcare data warehouses strongly preferred
• Track record of independently structuring and solving open-ended, high-stakes business questions with minimal guidance
• Experience developing pricing models, financial impact analyses, or ROI/value frameworks in a healthcare services or health plan context
• Proven ability to build and manage relationships with external data vendors, research partners, or publication outlets
• At least one first- or co-authored publication in a peer-reviewed or industry-recognized outlet
• Strong written and verbal communication skills, able to distill complex quantitative findings into executive-ready narratives
• Experience at a healthcare technology company, benefits consulting firm, or specialty surgical benefits manager
• Familiarity with employer-sponsored benefits economics, stop-loss insurance, or value-based care contracting structures
• Proficiency in SQL and at least one analytical or statistical programming language (R, Python, SAS)
• Familiarity with AI-based enablement including Claude, ChatGPT, DBX Genie, etc.
• Graduate degree (MBA, MPH, MS in Health Economics, Biostatistics, or related) preferred; exceptional candidates without advanced degrees will be considered
• Strong Candidates will have at least one first- or co-authored publication in a peer-reviewed or industry-recognized healthcare or benefits outlet
• Strong Candidates will thrive in ambiguous, high-stakes analytical environments and independently scope and execute complex projects with minimal direction
• Strong Candidates will bring an existing network of relationships with healthcare data vendors or academic research partners
• Strong Candidates will translate complex quantitative findings into clear, executive-ready narratives and confidently present to senior leadership and external stakeholders
• Strong Candidates will demonstrate active fluency with AI-based analytical tools

Demonstrates expertise in healthcare analytics and financial modeling, with a strong ability to synthesize complex data into actionable insights. Proven track record in managing relationships with external partners and leading publication efforts in healthcare and benefits.

• Healthcare Analytics
• Financial Modeling
• SQL Proficiency
• Publication Experience
• Relationship Management

• Healthcare Data Analysis
• Pricing Model Development
• Sensitivity Analysis
• Claims Data Synthesis
• Statistical Programming (R, Python, SAS)

• Strong Written…