Digital Product Owner, Research Decision Intelligence

Job title: DigitalProduct Owner, Research Decision Intelligence, Morristown, NJ

• Location: Morristown, NJ

About the Job

At Sanofi, we chase the miracles of science to improve people's lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine for millions of people. As a leading investor in life sciences, we focus on delivering new ways to address unmet medical needs.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform developing and delivering medicine faster, enabling healthcare professionals to improve treatments, and helping patients improve their health. Our global scale and deep health ecosystem connections make us the best place to push the boundaries of medicine through technology.

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 and develops new medicines. We harness AI, machine learning, and computational modeling to build transformative in-silico solutions delivering predictive insights, streamlining workflows, and turning data into decisive action. Within this team, the Data Visualization & Decision Support product line translates complex scientific data and model outputs into intuitive, high-impact tools that enable scientists and decision-makers to act with speed and confidence.

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 line, 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

• Lead agile ceremonies (sprint planning, backlog grooming, retrospectives) and drive iterative product delivery with cross-functional pods

• 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 

• Hands-on experience with life science data browsing and visualization platforms such as Spotfire and D360. Familiarity with electronic lab notebooks (ELNs) including Benchling and Genedata Biologics is a plus. Ability to query databases directly, with Snowflake experience preferred.

• 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 using diagrams including 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

• Lead usability testing sessions, synthesize feedback, and rapidly iterate to improve user experience

• 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 use cases and measurable outcomes

Stakeholder Collaboration and Communication

• Build strong partnerships with R&D scientists, computational biologists, data scientists, and ML engineers to ensure products meet real scientific needs.

• Collaborate with the Product Line Owner on portfolio strategy, prioritization, and resource allocation

• Facilitate co-creation workshops, ideation sessions, and requirements gathering with diverse stakeholder groups

• Communicate product progress, value delivered, and adoption metrics to stakeholders and leadership with clarity and confidence; manage competing expectations and negotiate trade-offs with transparency and sound judgment

About You

Education

• Bachelor's degree required in Life Sciences, Computational Biology, Bioinformatics, Computer Science, or a related field. Master's or PhD is a plus

Experience

• A minimum of 5+ years of experience in product management, product ownership, or related roles within pharmaceutical R&D, biotech, or life sciences.

• Proven track record delivering digital products in scientific or technical environments.

• Strong experience with data visualization tools is required.

• Experience working in agile cross-functional teams (Scrum, Kanban) and managing product backlogs

• Demonstrated ability to conduct user research and translate findings into actionable product requirements

Technical Skills

• Solid understanding of drug discovery workflows and the challenges of computational and experimental research

• Understanding of databases, data pipelines, data quality, and cloud-based platforms

• Experience with product management and collaboration tools such as JIRA, Confluence, Figma, or Miro

Soft Skills & Mindset

• Exceptional ability to listen to scientists and end users—and turn what you hear into products they want to use

• Strong scientific translation skills: you can hold a credible conversation with a computational biologist and a business leader in the same afternoon

• Structured problem-solver who can navigate ambiguity, manage competing priorities, and make decisive trade-offs

• Clear, confident communicator who can influence without authority and build alignment across functions

• Change management mindset: patient, strategic, and persistent in driving adoption in scientific organizations

• Collaborative spirit and genuine curiosity—you want to understand the science, not just manage the backlog

• Growth mindset and enthusiasm for the rapidly evolving AI/ML landscape in drug discovery

Preferred Qualifications

• Background spanning both wet-lab biology and computational/data science

• Familiarity with data visualization tools, AI/ML concepts and their applications in life sciences (model types, outputs, uncertainty quantification, validation)

• Experience with platform migrations, technology transitions, or new capability onboarding is a plus

• Familiarity with life science data browsing platforms such as Spotfire, D360, or equivalent tools is desirable but not a must.

• Portfolio demonstrating scientific interface, data visualization, or platform projects

• Knowledge of regulatory considerations for AI/ML tools in pharmaceutical R&D

• Understanding of API integration, data pipeline concepts, and how backend architecture impacts user experience

• Track record of facilitating design-thinking workshops and co-creation sessions with diverse stakeholder groups

• Experience in large pharma environments with complex organizational structures and governance processes

Why You Should Join Us

This is a rare opportunity to have a direct, meaningful impact on how scientists discover and design medicines—not through incremental tool improvements, but through AI-powered products that fundamentally change what's possible in early drug discovery.

You'll work alongside world-class scientists and engineers in a team that combines the mission-driven urgency of a startup with the resources and scale of a global biopharma leader. If you want your work to matter—to patients, science, and to the future of medicine—this is the place

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.  

• Make your work count by supporting a company that brings life-changing treatments to millions — and is committed to doing right by patients, communities, and the planet.

• Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.

• Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.

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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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.