In Silico Data Visualization and Decision Support Product Line Owner,

Sanofi•Cambridge, MA

18d

About The Position

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.

Requirements

Bachelor's Degree required, Master's Degree preferred.
8+ years of experience in technical product management, data product leadership, or scientific computing roles within life sciences or pharmaceutical R&D
Minimum 5 years working directly with scientific research teams, understanding their data workflows and decision-making processes
Demonstrated track record of delivering data visualization or analytics products from concept to adoption in a research environment
Experience managing products through full lifecycle including user research, requirements gathering, prioritization, delivery, and iteration based on feedback
Proven experience in strategic planning, roadmap development, and executive-level stakeholder management with P&L accountability
Strong technical understanding of scientific data types common in drug discovery (e.g., omics data, imaging data, clinical data, molecular data) and how to effectively visualize complex scientific datasets
Experience working with computational biology, cheminformatics, or translational research data; workflows in a scientific research environment
Experience in or good understanding of Pharma R&D portfolio optimization in large pharma, or demonstrated ability to learn the business quickly
Proficiency with enterprise data visualization platforms (e.g., Spotfire, Tableau, Power BI, Plotly) and understanding of when to apply different visualization approaches
Working knowledge of data science and engineering workflows, including familiarity with Python, R, SQL, cloud platforms (AWS, Azure, GCP), APIs, and data integration patterns
Experience in leading cross-functional teams and managing complex projects or programs
Strong stakeholder management skills including networking, influencing, negotiating
Excellent communication and active listening skills, with ability to understand end-to-end data needs and ensure products address specific use cases

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 Management: Partner directly with senior business partners across R&D and Digital business functions to align product strategy with organizational objectives and secure strategic investments
External Partnerships & Industry Leadership: Establish and manage strategic partnerships with leading technology vendors, academic institutions, and industry consortiums to drive innovation and maintain competitive positioning
Enterprise Platform Governance: Oversee enterprise-wide platform architecture decisions, ensuring scalability, compliance, and alignment with global Digital strategy while driving standardization across multiple regions
Cross-Organizational Collaboration: Lead complex, multi-stakeholder initiatives spanning discovery sciences, translational research, computational biology, data engineering, ML/AI teams, portfolio management, and therapeutic area leadership globally
Business Strategy Integration: Translate business strategy into technical roadmaps and ensure product outcomes directly contribute to organizational KPIs and strategic objectives
Market Intelligence & Competitive Analysis: Monitor industry trends, emerging technologies, and competitive landscape to inform strategic decisions and maintain market leadership
Change Management & Adoption: Drive organizational change management initiatives to ensure successful adoption of new capabilities across global teams and functions

Benefits

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.

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