Director, Pricing Policy and Analytics - Job ID: 1593

Role Summary

Director, Pricing Policy and Analytics — lead pricing policy evaluation and develop an advanced analytics arm for the Pricing & Contracting team in the US. Hybrid in Princeton, NJ with three in-office days per week.

Responsibilities

• Evaluate policy impact on pricing strategies and policies aligned with business objectives and regulatory compliance; assess market dynamics for US products.
• Develop data-driven pricing dashboards and analytical models to inform executive decisions for in-line and pipeline assets.
• Benchmark pricing strategies across therapeutic areas; track payer/PBM behavior, formulary decisions, and contract performance.
• Oversee 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 policy developments (e.g., CMS reforms, IRA, international reference pricing) and their 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; track payer and PBM behavior, formulary decisions, and contract performance.

Qualifications

• Required: Master‚Äôs degree in Business Administration, Finance, Healthcare Management, or related field; 8‚Äì12 years of experience in pharmaceutical pricing/contracting, pricing policy, advanced analytics, or market access.
• Preferred: Deep understanding of US and global pharmaceutical pricing frameworks, reimbursement environments, and health policy trends.
• Required: Experience managing large datasets, pricing models, and policy impact analyses.
• Required: Experience with value-based contracting and innovative pricing models.
• Required: Familiarity with IRA, Medicaid/Medicare rules, and global price referencing.
• Proficiency with SAS, R, Python, or Tableau for advanced data analysis.
• Exceptional written and verbal communications skills.

Skills

• Strong analytical thinking with a proactive, collaborative approach.
• Entrepreneurial mindset; ability to thrive in an open, evolving environment.
• Ability to manage multiple work streams with high attention to detail and organization.

Education

• Master‚Äôs degree preferred in Business Administration, Finance, Healthcare Management, or related field.

Additional Requirements

• Travel: Approximately 10%.
• Place of work: Princeton, NJ; hybrid model with three in-office days per week.