Director/Team Lead, Valuation Center of Excellence (CoE)

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 model templates, version control, reusable analytical frameworks, and an AI-enabled knowledge repository on the Common Analytic Platform.
• Align input and reconciliation standards with EPM, Finance, Commercial, Business Assessment, R&D, and Business Development across internal and external opportunities.

People Leadership and Coaching

• Lead the Valuation CoE team, including performance management, work assignment, intake, prioritization, and capacity balancing across therapeutic areas.
• Build team capability in valuation, decision analysis, therapeutic-area knowledge, executive storytelling, and effective use of generative AI for analytical decision support.
• Coach and develop colleagues through clear career paths, stretch assignments, asset-team exposure, peer review, and post-decision learning.
• Establish a culture of analytical excellence, continuous improvement, knowledge sharing, and accountable delivery.

Valuation Governance and Information Flow

• Integrate asset and indication-level valuations across R&D, Commercial, Finance, and EPM to support operating plans, long-range forecasts, and portfolio prioritization.
• Create executive-ready presentations, business cases, dashboards, and briefing materials that clearly communicate value drivers, scenarios, risks, and recommendations.
• Represent asset and indication-level valuation methodology and findings at Category, PMT, and other governance forums, enabling transparent, data-driven investment decisions.

Basic Qualifications

• BA/BS degree in life science, finance, engineering, or a quantitative discipline.
• At least 8 years of experience in management consulting, investment banking, equity research, corporate or R&D finance, portfolio management, or decision analysis, including at least 3 years building pharmaceutical asset valuations.
• Demonstrated expertise in expected cash flow modeling and economic value measures (eNPV, eIRR), and in decision analysis techniques such as decision trees, Monte Carlo simulation, multi-attribute analysis and value of information.
• Expert command of pharmaceutical R&D economics: phase transition probabilities, development cost and timeline drivers, indication sequencing, exclusivity and loss of exclusivity.
• Demonstrated experience setting analytical standards and enforcing them across teams the role does not control.
• Hands‑on tool‑building capability: advanced Excel plus at least one of Python, R or equivalent, and practical use of AI / large language model tools within an analytical workflow (Claude, Gemini, Copilot).
• Experience managing, mentoring or formally coaching junior colleagues.
• Excellent Microsoft Excel and PowerPoint skills.

Preferred Qualifications

• Advanced degree in business, decision analysis, engineering, medicine / science, or a related quantitative field.
• Experience supporting business development, licensing or M&A valuation alongside internal pipeline work.
• Experience deploying AI or large language model tooling in a regulated or controls-sensitive environment, including validation and audit considerations.
• Experience in a center of excellence, shared service or other capability‑based analytics team.
• Experience and expertise in portfolio management and portfolio analytics systems.
• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Other Job Details

• Last Day to Apply: October 28, 2026
• Work Location Assignment: Hybrid, selected candidate must be onsite 2.5x weekly

Salary

The annual base salary for this position ranges from $176,600.00 to $294,300.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program.

Benefits

• 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
• paid vacation
• holiday and personal days
• paid caregiver/parental and medical leave
• health benefits to include medical, prescription drug, dental and vision coverage

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email View email address on click.appcast.io. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

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