Senior Director, Portfolio Insights and Analytics

Key Responsibilities

Strategic Portfolio Analytics & Leadership

• Lead comprehensive portfolio analytics workstreams to inform long-range strategy, portfolio reviews, launch excellence, commercial baseline and strategic investment prioritization across therapeutic areas.
• Serve as a trusted strategic advisor to senior commercial and cross-functional executives, translating complex market, competitive, and internal performance data into actionable business options, trade-off assessments, and risk frameworks.
• Lead the integration of local, national, and global market drivers—including epidemiology, pricing/reimbursement, access dynamics, customer behavioral insights, competitive insights, and sub-national trends—into cohesive and actionable strategic insights.
• Leads portfolio demand forecasting in support of supply chain planning.
• Leads DDA coordination and execution of annual forecasting processes.

Technical Excellence & COE Leadership

• Champion cross-functional IA Centers of Excellence (COEs) across Forecasting, Customer Insight, and Competitive Intelligence, fostering technical excellence, consistency, and best-in-class methodologies across Insights & Analytics.
• Direct the design, implementation, and continuous evolution of enterprise measurement capabilities, including Marketing Mix Modeling (MMx), ROI assessments, predictive analytics, and scenario planning.
• Establish enterprise-wide standards for analytical rigor, data synthesis, and high-impact executive storytelling.
• Collaborates with brand analytics team and Product Suite teams to inform the prioritization and development of portfolio insight products and tools.
• Ensures compliance with all analytical, insights, and research methodologies across DDA, including training and reporting.

Team Building & Organizational Capability

• Build, mentor, and inspire a high-performing, inclusive team of insights and analytics professionals, establishing strong talent pipelines and driving a culture of continuous learning and innovation.
• Models inclusive, collaborative leadership, creating space for diverse perspectives and empowering others to contribute their best work.
• Establish effective operating models, engagement frameworks, and prioritization processes to support stakeholders across the organization.

Who you are

• You have a Bachelor’s degree in a scientific or quantitative discipline is preferred (e.g. Engineering, Life Sciences, Mathematics, Statistics, Economics, Data Science, etc).
• You have 12+ years of progressive leadership within the pharmaceutical or biotech industry, focusing on forecasting, commercial analytics, investment prioritization, and strategic planning.
• Technical Mastery: Deep hands-on and strategic understanding of pharmaceutical data ecosystems (claims, specialty pharmacy, EMR, promotional datasets) and advanced analytical frameworks (e.g., MMx, forecasting, market research synthesis).
• Deep knowledge of analytical approaches in the biopharmaceutical industry, including commercial forecasting, descriptive and predictive analytics, competitive intelligence, quantitative and qualitative market research, and commercial measurement methodologies, with a proven ability to modernize capabilities through innovative, AI-enabled solutions.
• Business Expertise: Must demonstrate a strong understanding of the pharmaceutical commercial value chain and market drivers, capable of contributing directly to strategic business planning beyond just data.
• Executive Presence & Influence: Proven ability to synthesize complex data into concise, strategic narratives for executive leadership, with demonstrated success influencing business strategy without direct authority.
• Cross-Functional Leadership: Demonstrated track record of establishing and scaling COEs or capability-building frameworks in partnership with commercial, medical, IT, and vendor teams.
• Strategic Acumen: Excellent ability to navigate ambiguity, prioritize high-value opportunities, and balance long-term strategic vision with short-term operational execution.
• Digital-first Mindset: Ability to look for opportunities to streamline and improve the customer experience and performance through digital tools, data and automation to create better, faster and more scalable outcomes.
• Drive for Results: Resourcefulness and decisiveness, with the ability to remain proactive and prioritize effectively in a fast-growing organization.