Director, Pricing Policy and Analytics - Job ID: 1593

Role Summary

Director, Pricing Policy and Analytics – oversee policy impact on pricing and build advanced analytics for the Pricing & Contracting team in the US; hybrid in Princeton, NJ.

Responsibilities

• Evaluate policy impact on pricing strategies and policies that align with company objectives and regulatory compliance, and influence market dynamics for US products.
• Develop data-driven pricing dashboards and analytical models to inform executive decision-making for in-line and pipeline assets.
• Benchmark pricing strategies across therapeutic areas and track payer/PBM behavior, formulary decisions, and contract performance to inform pricing tactics.
• Oversee development and application of advanced analytics models to evaluate price elasticity, scenario modeling, and value-based pricing strategies.
• Use claims data and forecasting tools to inform pricing decisions and reimbursement strategies.
• Monitor and evaluate policy developments (e.g., CMS reforms, IRA, international reference pricing) and their potential impact on pricing and access strategies.
• Lead refinement of pharmaceutical pricing policies in alignment with commercial, legal, and market access strategies.
• Collaborate with Market Access, Government Affairs, Legal, Regulatory, Finance, and Commercial teams to ensure pricing policies are consistent, competitive, and compliant.
• Benchmark pricing strategies across geographies and track payer and PBM behavior, formulary decisions, and contract performance.

Qualifications

• Required: Advanced degree (MBA, Finance, Healthcare Management or related) with 8–12 years of experience in pharmaceutical pricing and contracting, pricing policy, advanced analytics or market access.
• Preferred: Deep understanding of US and global pricing frameworks, reimbursement environments, and health policy trends.
• Required: Experience managing large datasets, pricing models, and policy impact analyses; familiarity with value-based contracting and innovative pricing models.
• Required: Proficiency with SAS, R, Python, or Tableau for advanced data analysis; strong written and verbal communication skills.

Skills

• Analytical thinking and proactive, collaborative approach
• Entrepreneurial mindset; ability to thrive in a dynamic environment
• Ability to manage multiple work streams with high attention to detail

Education

• Master’s degree in Business Administration, Finance, Healthcare Management, or related field (preferred)

Additional Requirements

• Travel: Approximately 10%