Associate Director, Portfolio Strategy

Overview

This role provides the requirements and owns the quantitative and analytical backbone that underpins R&D portfolio prioritization, valuation, and analytical interpretation to support governance reviews. The position sits at the intersection of portfolio strategy, data science, and commercial analytics, translating complex, uncertain pipeline data into decision-ready insights for senior governance forums.

As the portfolio grows in size and complexity—spanning overlapping indications, combination strategies, biomarker-defined populations, and platform-level dependencies—the role ensures prioritization decisions rely on a consistent, auditable, and increasingly AI-enabled analytical foundation rather than ad hoc modeling rebuilt each cycle. This capability area is newly evolving, with latitude to shape methodology, tooling, and governance standards.

Responsibilities

Quantitative Portfolio Modeling

• Support the broader portfolio strategy team in maintaining and continuously refining portfolio information through proactive involvement with key stakeholders, including Project Teams, R&D and commercial leadership, Governance committees, Finance, Forecasting, and Competitive Intelligence
• Integrate probability-of-success, timelines, scenarios and sensitivity analyses, platform approaches, asset and disease strategy, and franchise perspectives into portfolio context and reporting
• Contextualize internal R&D portfolio data with industry benchmarks and competitive intelligence to assess and support project and portfolio decisions

Insights & Decision Intelligence

• Partner with GPPM Systems and Reporting, Finance, and Pipeline Strategy and Valuation to provide input and insights for decision-intelligence tools, including dashboards, predictive models for trial/regulatory success, scenario simulators, and automated competitive or landscape signal feeds
• Own the analytics layer of the portfolio governance process, ensuring committee materials are generated from a consistent, reusable model rather than rebuilt manually each cycle
• Guide the use of emerging AI-enabled approaches (e.g., predictive analytics, automated assumption-flagging, natural-language synthesis of competitive intelligence) to embed decision intelligence into recurring governance workflows

Governance Support & Executive Communication

• Translate quantitative model output into clear, committee-ready narratives and visualizations for senior R&D and Commercial leadership forums
• Support the design and facilitation of structured portfolio prioritization review sessions, ensuring analytics are integrated into deliberation rather than presented as a disconnected appendix
• Serve as a methodological resource to the Portfolio Strategy & Governance team preparing valuation and risk inputs for governance review, ensuring rigor and consistency before materials reach senior decision-makers

Cross-Functional Partnership

• Work closely with GPPM functional partners (Program Management, Systems and Reporting), R&D Finance, and Global Commercial Strategy & Operations to ensure model inputs (timelines, PoS, market assumptions) reflect current, defensible thinking
• Act as a bridge between technical/data science capability-builders and the strategic, governance-facing needs of the portfolio team

Requirements

• Prior experience in portfolio strategy and management, preferably within a biotech, pharmaceutical, or life sciences consulting environment
• Demonstrated fluency in eNPV modeling, PoS-weighted valuation, scenario and sensitivity analysis, and portfolio-level resource optimization
• Track record of translating complex quantitative analysis into clear recommendations for senior executive or governance audiences
• Strong cross-functional collaboration skills, with credibility among both technical/analytical and clinical/commercial stakeholders
• Familiarity with decision-support approaches in a pharmaceutical R&D or commercial context
• Experience with stage-gate or investment governance processes in a large biotech or pharmaceutical organization
• Working knowledge of oncology-specific value drivers (e.g., companion diagnostics, accelerated regulatory pathways, HTA frameworks, combination/platform strategy)

Preferred Qualifications

No additional preferred qualifications were specified.

Compensation & Benefits

• Salary Range: $148,900.00 - $198,900.00 annually
• Additional compensation details:
  • Actual compensation packages are determined by factors unique to each candidate, including job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor.
  • The listed range reflects the base salary or hourly range only.
  • Non-Commercial roles are eligible to participate in the annual bonus plan.
  • Commercial roles are eligible to participate in an incentive compensation plan.
• Equity:
  • All employees are eligible for discretionary equity awards and may voluntarily participate in the Employee Stock Purchase Plan.
• Benefits package includes:
  • Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

Location

• Travel: Minimal, less than 10%

Equal Opportunity & Accessibility

The employer is an equal opportunity employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by applicable law. Reasonable accommodation will be provided in the application process in accordance with applicable federal, state, and local laws.