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Director​/Team Lead, Valuation Center of Excellence; CoE

Job in New York, New York County, New York, 10261, USA
Listing for: Pfizer
Full Time position
Listed on 2026-10-16
Job specializations:
  • Finance & Banking
    Financial Analyst, Corporate Finance
Salary/Wage Range or Industry Benchmark: 176600 - 294300 USD Yearly USD 176600.00 294300.00 YEAR
Job Description & How to Apply Below
Role Summary

ROLE SUMMARY The Valuation CoE Team Lead is accountable for the financial valuation of R&D investment decisions and analytical support for business case development. The role ensures that asset and indication-level valuations presented to Asset Teams, Category Leadership, and Executive Governance are objective, consistent, and based on common standards, enabling comparable program and portfolio prioritization. This is primarily a Decision Analysis leadership role, supported by strong valuation and modeling expertise.

The Team Lead partners with Therapeutic Area-aligned Decision Analysis Directors to define the decision framework, translate development options into aligned scenarios and sensitivities, and provide independent challenge to assumptions from Commercial, Clinical, Regulatory, and Finance. The role owns valuation methodology and financial standards, as well as the development of valuation tools and their integration with forecasting, development cost, PTRS, and portfolio systems.

The Team Lead also advances two strategic priorities: building an AI-enabled valuation ecosystem and developing junior Decision Analysis talent.

Reports to:

Head of PDA Decision Analysis. Direct reports: 3–4 Senior Managers/Managers. Key interfaces:
Therapeutic Area Decision Analysis Directors, Enterprise Portfolio Management, Finance, Commercial, Business Development/Corporate Development, and Digital.

Role Responsibilities AI Tooling and Workflow
  • Set and execute on the roadmap for AI-assisted valuation and decision-support workflows, defining where work should be automated, augmented, or retained as human judgment.
  • Design reusable prompts, agents, and workflows across approved generative AI platforms to accelerate model development, assumption retrieval, scenario generation, quality checks, and executive deliverables.
  • Identify and automate recurring analytical tasks; evaluate emerging AI technologies and recommend adoption strategies with Enterprise Portfolio Management (EPM), Digital, and other business partners.
  • Establish AI governance, validation, traceability, and human-review controls so all machine-assisted outputs are transparent, reproducible, and fit for governance use.
Decision Analysis and Framing
  • Partner with TA Decision Analysis Directors to frame and pressure-test the business question, decision criteria, options, and key uncertainties before modeling begins.
  • Apply Decision Quality methods—including decision hierarchies, strategy tables, decision trees, scenario planning, and value of information—to structure complex choices.
  • Translate development strategies and trade-offs into AI-enabled analytical frameworks, probabilistic analyses, sensitivities, and clear value drivers at the asset and indication-level.
  • Provide objective challenge to Commercial, Clinical, Regulatory, and Finance assumptions and convert complex findings into concise, actionable recommendations.
  • Ability to flex and lead decision analysis projects within any therapeutic area if there are potential capacity issues or peak in project volume.
Valuation Standards and Quality
  • Together with Head of PDA Decision Analysis and TA Decision Analysis Directors, own valuation metrics used to inform consequential portfolio prioritization and multi-billion dollar investment go/no-go decisions at the Portfolio Management Team (PMT).
  • Own PDA’s Common Analytical Practices (CAP), including cash flow architecture, risk adjustment, discount rates, eNPV, eIRR, PTRS benchmarks, and standards for approved deviations.
  • Serve as final quality reviewer for internal pipeline valuations, ensuring consistent assumptions, cross-asset comparability, transparent documentation, and audit-ready outputs before governance review.
  • Maintain standardized…
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