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Reference no. R2852607 Position title: Digital Product Owner, Research Decision Intelligence - Vaccines Department: In Silico Research Decision Intelligence Location: Toronto, ON About the Job Ready to push the limits of whats 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. At Sanofi, we chase the miracles of science to improve people''s lives. We believe our cuttingedge 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 InSilico Research team is a key innovation engine within Digital R&D, dedicated to pioneering nextgeneration digital products that reshape how R&D discovers and develops new medicines. We harness AI, machine learning, and computational modeling to build transformative insilico 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, highimpact tools that enable scientists and decisionmakers to act with speed and confidence. The Role We are looking for a passionate, driven Digital Product Owner to join the Data Visualization & Decision Support product line within the InSilico Research team, taking ownership of a critical digital product that empowers scientists to make faster, more confident, datadriven 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 endtoend delivery of one or more data visualization and decision support products, working in agile crossfunctional pods alongside data scientists, ML engineers, UX/UI designers, and frontend 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, highvalue 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. About Sanofi Were an R&Ddriven, AIpowered biopharma company committed to improving peoples 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 peoples 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, wellscoped 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 crossfunctional pods Make sound, datainformed prioritization decisionsbalancing 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/nogo recommendations, business cases, and executive summaries Scientific Data & Tools Proficiency Handson 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 endtoend: from point of entry in an ELN, through a data warehouse such as Snowflake, to its visualization and consumption in tools like Spotfire. This systemslevel understanding is essential for writing precise, unambiguous requirements. Experienced in using diagrams including business process flows, scientific workflows, and data flow diagrams to align crossfunctional and crosscultural stakeholders. User Research & Experience Conduct continuous user research with R&D scientists to deeply understand their workflows, bottlenecks, data needs, and interface requirements Champion usercentered 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 lowfidelity 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 cocreation 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 tradeoffs 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 strongly preferred 7+ 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, ideally involving AI/ML components Experience with data browsing and visualization tools for life science applications e.g. Spotfire, D360, etc. Experience working in agile crossfunctional teams (Scrum, Kanban) and managing product backlogs Demonstrated ability to conduct user research and translate findings into actionable product requirements Experience with platform migrations, technology transitions, or new capability onboarding is a plus Technical Skills Solid understanding of drug discovery workflows and the challenges of computational and experimental research Familiarity with data visualization tools, AI/ML concepts and their applications in life sciences (model types, outputs, uncertainty quantification, validation) Understanding of databases, data pipelines, data quality, and cloudbased platforms Experience with product management and collaboration tools such as JIRA, Confluence, Figma, or Miro Awareness of regulatory and compliance considerations (GxP, GDPR, HIPAA) relevant to pharmaceutical R&D Soft Skills & Mindset Exceptional ability to listen to scientists and end usersand 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 problemsolver who can navigate ambiguity, manage competing priorities, and make decisive tradeoffs 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 curiosityyou want to understand the science, not just manage the backlog Growth mindset and enthusiasm for the rapidly evolving AI/ML landscape in drug discovery What Makes You Stand Out Background spanning both wetlab biology and computational/data science Experience delivering AI/MLpowered tools that achieved measurable adoption in research workflows 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 designthinking workshops and cocreation sessions with diverse stakeholder groups Experience in large pharma environments with complex organizational structures and governance processes Why Choose Us Bring the miracles of science to life alongside a supportive, futurefocused team. Discover endless opportunities to grow your talent and drive your career, whether its through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, wellcrafted 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 highquality healthcare, prevention and wellness programs. This is a rare opportunity to have a direct, meaningful impact on how scientists discover and design medicinesnot through incremental tool improvements, but through AIpowered products that fundamentally change what''s possible in early drug discovery. Youll work alongside worldclass scientists and engineers in a team that combines the missiondriven urgency of a startup with the resources and scale of a global biopharma leader. If you want your work to matterto patients, science, and to the future of medicinethis is the place. AI Usage ''Artificial Intelligence refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decisionmaking. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Companys Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canadas Privacy Officer via Sanofis data subject request portal, Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint. Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request. #GD-SP #LI-SP #LI-Onsite #DBBCA 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. Toute compensation sera dtermine en fonction de l''exprience dmontre. Les employs peuvent tre admissibles participer aux programmes d''avantages sociaux de l''entreprise. Des informations supplmentaires sur les avantages sociaux peuvent tre trouves ici. #J-18808-Ljbffr