Digital Product Owner – Research Decision Intelligence

Job Title: Digital Product Owner – Research Decision Intelligence

• Location: Cambridge NJ

About the job:

We are looking for a passionate, driven Digital Product Owner to join the Data Visualization & Decision Support product line within the In-Silico Research team, taking ownership of a critical digital product that empowers scientists to make faster, more confident, data-driven decisions. If you thrive at the intersection of science and technology, equally at home in a user discovery conversation with a bench scientist and a technical refinement session with an ML engineer and take pride in shipping solutions that change how research gets done, this role is for you.

As Product Owner, you will own end-to-end delivery of one or more data visualization and decision support products, working in agile cross-functional pods alongside data scientists, ML engineers, UX/UI designers, and front-end developers. You will define the product vision, manage the backlog, translate complex scientific and computational requirements into actionable user stories, and drive adoption of tools that become indispensable to researchers' daily workflows.

You will partner with the Product Line Owner to ensure your products deliver coherent, high-value experiences across the portfolio. Your success will be measured not just by what you ship, but by the measurable impact on scientific productivity and the pace of drug discovery.

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

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:

Product Ownership & Delivery

• Own and prioritize the product vision, roadmap, and backlog for your product, ensuring clear alignment with scientific priorities and Digital R&D strategy

• Write clear, well-scoped user stories, acceptance criteria, and success metrics grounded in real scientist workflows

• Make sound, data-informed prioritization decisions, balancing new feature development, technical debt, and user feedback

• Establish regular touchpoints with software development teams to validate technical requirements and ensure optimal solution architecture

• Drive products through governance stage gates with clear go/no-go recommendations, business cases, and executive summaries

Scientific Data & Tools Proficiency 

• Able to interpret what a data entity means in a biological context not just technically, but scientifically by asking the right questions of domain experts.

• Capable of tracing data lineage end-to-end: from point of entry in an ELN, through a data warehouse such as Snowflake, to its visualization and consumption in tools like Spotfire. This systems-level understanding is essential for writing precise, unambiguous requirements.

• Experienced in leveraging artifacts such as business process flows, scientific workflows, and data flow diagrams to align cross-functional and cross-cultural stakeholders.

User Research & Experience

• Conduct continuous user research with R&D scientists to deeply understand their workflows, bottlenecks, data needs, and interface requirements

• Champion user-centered design principles throughout the product lifecycle, partnering with UX/UI designers to create intuitive, scientifically accurate interfaces

• Independently sketch wireframes and low-fidelity mockups to communicate product vision to design and engineering teams.

Adoption & Change Management

• Build and execute targeted user adoption strategies for platform launches and transitions

• Monitor usage metrics and user satisfaction continuously, using data to guide product evolution

• Identify and proactively address barriers to adoption across different business functions and user personas

• Demonstrate product value through compelling scientific u