Decision Analytics Sr. Manager

Role Summary

Decision Analytics Senior Manager is a pivotal leader within Biogen's Decision and Quality Analytics Innovation (DQAI) group, part of the Development department. The role drives smarter decisions and measurable impact across research, development, and medical initiatives by translating complex data into narratives that guide operational and strategic outcomes. The role sets strategic direction for decision analytics frameworks, AI/ML-enabled innovations, and enterprise-wide program modeling, partnering with cross-functional R&D teams and external collaborators to shape enterprise decision science maturity and analytic capabilities.

Responsibilities

• Lead end-to-end program modeling efforts for multiple high-impact programs, focusing on assumptions gathering, trade-offs, and ROI analyses.
• Perform scenario planning and ‚Äúwhat-if‚Äù simulations to understand potential program and portfolio impacts.
• Perform sensitivity analyses and apply strategic-coverage frameworks to unify modeling assumptions across programs, improving governance-ready program narratives and insights.
• Utilize financial data (e.g. discounted cash flow) to evaluate the potential return on drug development projects.
• Institutionalize modeling standards and drive the adoption of strategic-alternatives methodologies and enhance governance decision frameworks.
• Oversee the product roadmap for internal analytics tools, ensuring alignment and scalability.
• Collaborate with IT and data engineering to maintain the R&D analytics infrastructure.
• Architect and integrate advanced AI/ML methodologies into the Decision Science lifecycle.
• Mentor junior staff in quantitative methodologies and decision-making frameworks.
• Engage with functional teams to align program narratives for governance.
• Lead external representation by contributing to peer-reviewed publications and conferences.

Qualifications

• Required: MS in Data Science, Computer Science, Information Systems, or a related field; advanced degree strongly preferred.
• Required: A minimum of 7 years experience in data science, analytics, or a comparable domain within pharmaceutical R&D or portfolio analytics.
• Required: Expertise in decision analytics, Monte Carlo simulations, pTRS forecasting and quantitative scenario modeling methods.
• Required: High-level proficiency in programming tools (Python/R) and portfolio simulation techniques.
• Required: Proven ability to align cross-functional teams and influence governance decisions.
• Required: Strong problem-solving, critical thinking, and executive-level communication skills.
• Required: Strong communication skills with the ability to translate mathematically rigorous insights into clear recommendations for non-technical audiences.
• Required: Familiarity with the drug development process and basic accounting or finance, such as P&Ls and cash flows.
• Required: Recognized for independent problem solving, innovative thinking, and the ability to integrate best practices with hands-on execution in a fast-paced, highly regulated environment.
• Preferred: Advanced degree beyond MS (e.g., PhD) and additional certifications relevant to analytics and decision science.

Education

• MS in Data Science, Computer Science, Information Systems, or a related field; advanced degree strongly preferred.