Sanofi
In Silico Data Visualization and Decision Support Product Line Owner,
Sanofi, Convent Station, New Jersey, us, 07961
In Silico Data Visualization and Decision Support Product Line Owner
Base pay: $148,125.00/yr - $213,958.33/yr
Locations: Cambridge, MA; Morristown, NJ
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 the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.
Why join 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
About the role 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. As the Product Line Owner, you will lead the strategy, roadmap, and delivery of data visualization and decision support solutions that enable scientific insights across R&D.
Main Responsibilities
Strategic Leadership & Innovation: Define and execute the enterprise‑wide strategic vision, establishing multi‑year roadmaps that drive competitive advantage and organizational transformation.
Organizational Impact & Decision Authority: Drive high‑level prioritization 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.
About You
Education:
Bachelor’s Degree required, Master’s Degree preferred.
Experience:
8+ years 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 – 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.
Skills
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 deep 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.
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.
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, 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.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in company employee benefit programs. Additional benefits information can be found here. Sanofi US endeavors to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please click here.
Seniority level: Director Employment type: Full‑time Job function: Information Technology Industry: Pharmaceutical Manufacturing
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Locations: Cambridge, MA; Morristown, NJ
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 the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.
Why join 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
About the role 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. As the Product Line Owner, you will lead the strategy, roadmap, and delivery of data visualization and decision support solutions that enable scientific insights across R&D.
Main Responsibilities
Strategic Leadership & Innovation: Define and execute the enterprise‑wide strategic vision, establishing multi‑year roadmaps that drive competitive advantage and organizational transformation.
Organizational Impact & Decision Authority: Drive high‑level prioritization 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.
About You
Education:
Bachelor’s Degree required, Master’s Degree preferred.
Experience:
8+ years 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 – 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.
Skills
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 deep 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.
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.
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, 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.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in company employee benefit programs. Additional benefits information can be found here. Sanofi US endeavors to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please click here.
Seniority level: Director Employment type: Full‑time Job function: Information Technology Industry: Pharmaceutical Manufacturing
#J-18808-Ljbffr