CMC Portfolio Analytics & Insights Team Lead

Role Summary

CMC Portfolio Analytics & Insights Team Lead. Lead transformation of CMC portfolio data into a strategic asset, build and lead a high-impact team responsible for analytics, forecasting, data infrastructure, and insight generation to enable data-driven decision-making across the CMC organization.

Responsibilities

• Develop and execute a data analytics strategy that supports CMC portfolio planning, investment prioritization, and resource optimization.
• Design and implement scalable data infrastructure and visualization platforms to enable real-time insights.
• Build predictive models and scenario planning tools to inform long-range planning and capacity forecasting.
• Translate complex data into clear, actionable insights for senior leadership, using data storytelling and visualization.
• Partner with cross-functional teams to identify key business questions and deliver analytics solutions that drive impact.
• Establish robust data pipelines, governance standards, and quality controls to ensure reliable, scalable analytics.
• Lead the development of dashboards and self-service tools that empower teams to explore and act on data.
• Champion the integration of AI/ML, automation, and advanced analytics into portfolio management processes.
• Build and mentor a high-performing team of data analysts, visualization experts, and business translators.
• Foster a culture of curiosity, innovation, and continuous learning.
• Serve as a thought leader in analytics strategy, influencing enterprise-wide initiatives and governance forums.

Qualifications

• Advanced degree in a relevant discipline (e.g., Data Science, Business Analytics, Engineering, Life Sciences) with 5+ years of experience in data analytics or portfolio strategy within the pharmaceutical/biotech industry.
• Proven expertise in advanced analytics, including data modeling, forecasting, simulation, and visualization.
• Familiarity with CMC processes and deliverables.
• Strong business acumen with the ability to translate complex data into strategic insights and recommendations.
• Experience working with cross-functional teams to solve business problems using data-driven approaches.
• Exceptional communication and storytelling skills, with the ability to influence technical and executive audiences.
• Demonstrated success in leading analytics initiatives and managing complex stakeholder environments.

Skills

• Data analytics, forecasting, data visualization, predictive modeling
• Portfolio analytics, scenario planning, decision intelligence
• Data infrastructure, dashboards, self-service tools
• AI/ML integration, automation, governance
• Leadership, team building, strategic storytelling

Education

• Advanced degree in a relevant discipline as specified above.