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Home > Job Postings > Digital Product Owner, Research Decision Intelligence Vaccines Overview We are seeking a passionate Digital Product Owner to join the Data Visualization & Decision Support product line within the In-Silico Research team. You will own end-to-end delivery of one or more data visualization and decision support products, partnering with scientists, ML engineers, and UX/UI designers to enable faster, data-driven scientific decisions. Responsibilities Product Ownership & Delivery: Own and prioritize the product vision, roadmap, and backlog for your product line, ensuring 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 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/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 ELNs (e.g., Benchling, Genedata Biologics) is a plus. Ability to query databases directly; Snowflake experience preferred. Interpret data entities in a biological context, not just technically, by asking the right questions of domain experts. Trace data lineage end-to-end: from ELN entry through data warehouse (e.g., Snowflake) to visualization/consumption in tools like Spotfire. Experience with diagrams such as business process flows, scientific workflows, and data flow diagrams to align stakeholders. User Research & Experience: Conduct continuous user research with R&D scientists to understand workflows, bottlenecks, data needs, and interface requirements. Champion user-centered design and work with UX/UI designers to create intuitive, scientifically accurate interfaces. Lead usability testing sessions, synthesize feedback, and 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, guiding product evolution with data. Identify and address barriers to adoption across functions and user personas. Demonstrate product value through scientific use cases and measurable outcomes. Stakeholder Collaboration & Communication: Build partnerships with R&D scientists, computational biologists, data scientists, and ML engineers to ensure products meet real needs. Collaborate with the Product Line Owner on portfolio strategy, prioritization, and resource allocation. Facilitate co-creation workshops and requirements gathering with diverse stakeholders. Communicate progress, value delivered, and adoption metrics to stakeholders and leadership with clarity and confidence. About You Education Bachelors degree in Life Sciences, Computational Biology, Bioinformatics, Computer Science, or a related field Masters or PhD strongly preferred 7+ years of experience in product management/ownership within pharmaceutical R&D, biotech, or life sciences Proven track record delivering digital products in scientific or technical environments, ideally with AI/ML components Experience with data browsing and visualization tools for life sciences (e.g., Spotfire, D360) Experience working in agile cross-functional teams and managing product backlogs Ability to conduct user research and translate findings into actionable requirements Experience with platform migrations or new capability onboarding is a plus Technical Skills: Understanding of drug discovery workflows and challenges of computational/experimental research Familiarity with data visualization, AI/ML concepts in life sciences, and validation approaches Understanding of databases, data pipelines, data quality, and cloud platforms Experience with JIRA, Confluence, Figma, or Miro Awareness of regulatory/compliance considerations (GxP, GDPR, HIPAA) relevant to pharmaceutical R&D Soft Skills & Mindset: Excellent listening and translation of scientific needs into usable products. Ability to communicate across scientists, business leaders, and engineers; structured problem-solving; decision making under ambiguity. Clear, confident communicator; ability to influence without authority and build cross-functional alignment. Change management mindset; collaborative and curious about science beyond backlog management. Growth mindset and enthusiasm for AI/ML in drug discovery. What Makes You Stand Out: Experience spanning wet-lab biology and computational/data science; track record delivering AI/ML tools with measurable adoption; understanding API integration and backend impact on UX. Why This Role Join a team that combines mission-driven urgency with the scale of a global biopharma leader. This is an opportunity to influence how scientists discover and design medicines through AI-powered products. Equal Opportunity & Compliance Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain employees from diverse backgrounds. Accommodations for persons with disabilities are available during the recruitment process upon request. #J-18808-Ljbffr