Lead Global Analytics and Forecasting - Dupixent / Itepekimab

Job Title: Lead, Global Analytics and Forecasting - Dupixent - Itepekimab

Location: Cambridge, MA or Bridgewater, NJ.

About the Job

Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and play a vital role in the performance of our entire business while helping to impact millions worldwide. As the Lead, Global Analytics and Forecasting - Dupixent / Itepekimab you're responsible for supporting commercial forecasting activities and reporting of performance/ predictive analytics to leadership. As a part of the Insights and Analytics (I&A) team you will be a strategic player in developing short & long-range sales forecasts for in-line and future indications, while providing analysis of launched asset performance as well as preparing for future launches. You will be responsible for proactively identifying opportunity areas through AI/ML models, claims, SP, and CRM data.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

• Provide strategic guidance to commercial and brand teams as a subject matter expert in analytics.
  
• Collaborate with cross-functional teams to develop and communicate accurate long-term forecasts for Dupixent and Itepekimab.
  
• Analyze brand performance metrics and synthesize insights for leadership, driving data-informed decisions.
  
• Leverage advanced analytics and data science tools to identify opportunities and optimize forecasting models.
  
• Partner with regional forecasting teams to align local deliverables with global strategies.
  
• Design and maintain dashboards and KPI reports to track brand strategy execution and performance.
  
• Supervise and collaborate with hub teams to implement GTMC processes and ensure seamless delivery of insights.
  

About You:

• Education Requirements: Bachelor's degree required; advanced degree (MBA, MS, MD, PhD) preferred.
  
• Experience: Background in pharmaceutical/biotech forecasting with extensive experience in pharmaceutical industry data sources (e.g., IQVIA patient-level data, syndicated reports, internal patient services & specialty pharmacy data).
  
• Soft Skills: Proven leadership, communication, and presentation skills combined with the Ability to effectively influence in a highly matrixed environment.
  
• Technical Skills: Excellent analytical and forecasting skills, with expertise in designing, developing, and maintaining short- and long-term forecast models.
  
• Proficiency with following:
  - Analytics and modeling techniques (e.g., Bayesian statistics, Regression, Customer life cycle value, A/B testing)
  - Programming languages (e.g., SQL, R, Python, VBA)
  - Familiarity with data visualization and business intelligence tools (e.g., Qlik Sense, Tableau).
  
  
• Additional: Experience in applying data science methodologies to complex quantitative problems.
  

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
  
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
  
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
  
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
  

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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