Sr. AI Driven Innovations Lead

Sanofi•Morristown, NJ

4d•Onsite

About The Position

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. Are you ready to shape the future of medicine? 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. We are accelerating Sanofi’s 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. This role will define the multi-year strategic roadmap for AI-driven clinical data capabilities, balancing near-term operational priorities with long-term innovation investments across data ingestion, review, transformation, and submission workflows. It will drive cross-functional standards initiatives (CDISC/CDASH/SDTM) to ensure organizational coherence and compliance. Working closely with cross-functional business and digital teams, this position will accelerate clinical development by leveraging AI/ML, analytics, and data science to enable near real-time, interactive access to clinical data and analyses, driving operational excellence across the organization. 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?

Requirements

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)

Nice To Haves

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 global environment
Excellent project management, communication and problem-solving skills
Experience with agile methodologies, business process management, and digital transformation

Responsibilities

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.
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.
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.