Senior Manager, Portfolio Analytics & Strategy

About the role

In this vital role you will lead portfolio analysis, performance tracking, and benchmarking, while owning Amgen's Probability of Technical and Regulatory Success (PTRS) process across the R&D portfolio. You will serve as a strategic thought partner to Product Teams, Therapeutic Area and Portfolio Governance, translating development risks, evidence, and uncertainty into decision-ready options. You will also oversee technology initiatives that enable PTRS and broader portfolio decision support, working closely with the Technology, Research, and Development organizations, Product Teams, and other cross-functional partners.

Responsibilities

• PTRS assessment, strategy, governance, tools & technology: Lead and facilitate the enterprise PTRS assessment process with Product Teams and cross-functional experts at key development, investment, and governance milestones. Own and continuously evolve the PTRS methodology, standards, benchmarks, guardrails, governance cadence, and documentation, including integration with portfolio and business-case processes. Oversee development of new PTRS and risk-assessment tools with the Technology organization and functional experts, including data products, evidence workflows, dashboards, and decision-support capabilities.
• Product Team partnership & decision support: Partner with Product Teams to assess risk across alternative target product profiles, indication and population choices, biomarker strategies, and clinical development options. Facilitate evidence-based discussions that distinguish established evidence from key assumptions, clarify what would confirm, challenge, or disconfirm the current risk posture, and help teams articulate trade-offs across risk, value, timing, cost, and resource demand.
• Portfolio reviews, performance & benchmarking: Support portfolio reviews, prioritization, and investment decisions by assessing portfolio-level trade-offs across risk, value, timing, cost, and resources and developing clear options for Governance and senior leaders. Lead cross-functional portfolio performance tracking and industry benchmark participation across cycle times, success rates, portfolio composition, productivity, throughput, and other development KPIs to identify trends, gaps, and improvement opportunities.
• Executive insights & calibration: Deliver decision-ready insights on portfolio risk, value, performance, and key trade-offs for Product Teams, Governance, and senior leadership. Maintain consistency across PTRS, valuation, planning, and governance assumptions, and use historical outcomes, internal performance trends, and external benchmarks to calibrate assessments and improve decision quality over time.

Basic Qualifications

• Doctorate degree and 2 years of experience in R&D portfolio management, portfolio analytics, life sciences or management consulting, or leading decision analysis initiatives.
• OR Master's degree and 4 years of experience in R&D portfolio management, portfolio analytics, life sciences or management consulting, or leading decision analysis initiatives.
• OR Bachelor's degree and 6 years of experience in R&D portfolio management, portfolio analytics, life sciences or management consulting, or leading decision analysis initiatives.
• OR Associate's degree and 10 years of experience in R&D portfolio management, portfolio analytics, life sciences or management consulting, or leading decision analysis initiatives.
• OR High school diploma / GED and 12 years of experience in R&D portfolio management, portfolio analytics, life sciences or management consulting, or leading decision analysis initiatives.

Preferred Qualifications

• Advanced degree in business, life sciences, medicine, statistics, decision sciences, or a related field preferred.
• 5+ years of experience in R&D portfolio management, portfolio analytics, life sciences or management consulting, or leading decision analysis initiatives.
• Working knowledge of decision analysis methodologies and probabilistic modeling techniques (e.g., decision trees, Monte Carlo simulation, risk modeling).
• Experience facilitating PTRS, probability of success (PoS), or comparable development risk assessments with cross-functional subject matter experts.
• Deep understanding of the end-to-end drug development process and the scientific, clinical, regulatory, CMC, operational, and competitive factors that influence program risk and probability of success.
• Comfort using AI-enabled tools and analytical capabilities to synthesize evidence, assess risk, develop insights, and improve decision support; experience applying these tools in an R&D, portfolio, or strategy setting.
• Strong analytical and strategic thinking skills, with the ability to synthesize complex information into clear, actionable insights.
• Executive presence and exceptional communication skills, with the ability to influence and engage senior leaders in both formal presentations and ad hoc discussions.
• Demonstrated ability to thrive in a fast-paced, ambiguous, and highly matrixed environment.