Sr. AI Driven Innovations Lead

Job Title

Sr. AI Driven Innovations Lead

Morristown, NJ

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI‑powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions. The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. At Sanofi, we chase the miracles of science to improve people’s lives and accelerate our modernization journey supporting our Play to Win strategy in ways that allow us to be more focused, integrated, agile, and efficient.

The current wave of digital technologies in artificial intelligence (AI) and Generative AI offers enormous opportunities to transform clinical development. We are seeking a Sr. AI Driven Innovations Lead within Clinical Data & AI Processing organization to lead and drive the end‑to‑end vision, strategy, and execution of AI/ML and agentic AI solutions for clinical data processing, analysis, and regulatory submission, ensuring alignment with Sanofi's broader R&D and digital transformation agenda.

• Strategic Leadership:
  Lead and drive development of AI/ML solutions for clinical data processing and analysis. Collaborate with digital partners to build and deploy integrated data flow technology products that enable seamless clinical operations. Ensure the roadmap is scalable and flexible to meet global and therapeutic‑area specific needs. Lead quarterly and annual planning, prioritizing initiatives based on impact, resource capacity, and scientific value.
  
  Gather and prioritize requirements from cross‑functional teams to define the “What” and “Why” of product development.
• Cross‑Functional
  
  Collaboration:
  
  Serve as strategic liaison between clinical business teams (clinical data management, statistical programming, biostatistics) and technical teams, translating complex requirements into actionable product specifications that deliver measurable clinical value and business impact. Engage with business leads, digital R&D leaders, and AI/ML experts to influence technology strategy, platform selection, and build‑vs‑buy decisions. Partner with clinical system owners (e.g., Medidata, Veeva Vault) and external data providers to optimize data ingestion and lifecycle management.
• Delivery Excellence:
  Ensure timely and high‑quality delivery of technology products in alignment with sprint plans and release milestones. Champion agile product development and iterative delivery, balancing short‑term execution with long‑term product health. Drive measurement of impact through business KPIs, data usage metrics, and stakeholder satisfaction. Resolve escalated product or delivery risks and coordinate mitigation strategies across internal and external teams.

• Minimum of 8 years of progressive experience designing and implementing analytics, data science, and AI solutions within clinical data management, statistical programming, or clinical development.
• Minimum Bachelor’s degree in Computer Science, Engineering, Biostatistics, Information Systems, or related scientific field.
• Fluent in English (written and spoken).

• Strong understanding of clinical development processes; experience with clinical trial data processing and analysis.
• Demonstrated strength in strategic thinking and capability in driving innovations in a global environment.
• Excellent project management, communication and problem‑solving skills.
• Experience with agile methodologies, business process management, and digital transformation.

• Thoughtful, well‑crafted rewards package that recognizes contributions and amplifies impact.
• Wide range of health and wellbeing benefits including high‑quality healthcare, prevention and wellness programs.
• At least 14 weeks of gender‑neutral parental leave.

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Sanofi Inc. and its U.S. affiliates are Equal Opportunity and affirmative action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, age, ancestry, citizenship, marital status, disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.