Director, Portfolio Analytics

As Director, Portfolio Analytics, you lead high-impact analytics workstreams to inform enterprise, franchise, and TA decisions. You shape methodologies for prioritization, valuation, and scenario planning, translating complex data into actionable guidance for senior leaders. You’ll be a strategic partner across EPI, TA, and enterprise stakeholders, delivering senior-ready materials that support investment and prioritization decisions. This role combines analytical rigor with leadership to elevate PDA capabilities and decision support at scale.

• salary range $185,500 - $344,500
• performance-based cash incentive
• eligibility for annual equity awards
• comprehensive benefits package (health, life, disability)
• 401(k) with company contribution and match
• generous time off package

• Lead major portfolio analytics workstreams (portfolio reviews, long-range assessments, prioritization exercises, TA/franchise analyses, enterprise-level decision support)
• Shape analytical methodologies for prioritization, valuation, risk, scenario planning, and pipeline sizing
• Provide senior stakeholders with clear interpretation of portfolio dynamics, risks, opportunities, and trade-offs for investment and planning
• Serve as a senior PDA thought partner for enterprise, franchise, TA, and EPI stakeholders
• Develop senior-ready materials that synthesize analyses into clear recommendations and decision narratives
• Mentor Associate Directors and PDA colleagues in analytical framing and stakeholder management
• Drive continuous improvement of PDA tools, reporting, and analytical standards

• Degree in business (MBA preferred) or an advanced scientific degree
• Significant pharmaceutical industry experience with exposure to R&D and/or commercialization
• Deep experience with R&D portfolio analytics, valuation, forecasting, prioritization, scenario planning, or related analytics
• Strong understanding of pharmaceutical R&D, portfolio strategy, asset value drivers, risk, and decision processes
• Demonstrated ability to lead complex analyses and translate them into senior-level recommendations
• Ability to influence in a matrixed environment without formal authority
• Track record of improving analytical methods, tools, or team capabilities

• Stakeholder management
• Clear communication
• Leadership and mentoring
• R&D portfolio analytics
• Valuation
• Forecasting