In Silico Data Visualization and Decision Support Product Line Owner,

Job Title: In Silico Data Visualization and Decision Support Product Line Owner,

Location: Cambridge, MA, Morristown, NJ

About the Job

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

Why joining Sanofi Digital

• Executive sponsorship and governance, with newly appointed CDO & leadership team

• Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)

• Unique diversity of medical & technical challenges, with mobility opportunities

The Digital In Silico Research team is a key innovation engine within Digital R&D, dedicated to pioneering next-generation digital products that reshape how R&D discovers, designs, and develops new medicines. We harness cutting-edge AI, machine learning, and computational modeling to build transformative in-silico solutions—empowering scientists with predictive insights, streamlining complex workflows, and turning data into decisive action. Our team plays a critical role in accelerating and transform drug discovery and translational research by building AI-powered, in-silico solutions that empower scientists, enhance decision-making, and connect data to action.

As the In Silico Data Visualization and Decision Support Product Line Owner, you will be responsible for leading the strategy, roadmap, and delivery of data visualization and decision support solutions that enable scientific insights across R&D. You will own key transversal platform products including interactive dashboards for data exploration and AI-powered decision support systems (agentic systems) that autonomously gather insights, recommend actions, and assist scientists in complex decision-making workflows. You will serve as a critical interface between scientific business functions and Data Products teams, ensuring that our data access and visualization capabilities meet the evolving needs of our scientists and researchers.

You will collaborate with Product Owners and stakeholders across multiple business functions to ensure that transversal in silico capabilities are aligned with business needs and effectively integrated into scientific workflows. Your expertise will be instrumental in building robust data foundations and analytical frameworks that enable scientists to leverage advanced technologies for drug discovery and translational research.

About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
 

Main Responsibilities:

• Strategic Leadership & Innovation: Define and execute the enterprise-wide strategic vision for Data Visualization and Decision Support, establishing multi-year roadmaps that drive competitive advantage and organizational transformation

• Organizational Impact & Decision Authority: Drive high-level prioritization decisions across multiple product lines, balancing business value, strategic alignment, and resource allocation with budgetary accountability

• Team Leadership & Development: Lead and mentor a team of product managers, data visualization experts and cross-functional teams, fostering a culture of innovation and excellence while developing next-generation product leadership talent

• Executive Stakeholder