Sanofi
life sciences
ProductOwnerScientificDataAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Product Owner Scientific Data Analytics at Sanofi. Skills: Product Owner, Scientific Data Analytics, Digital Product Management, R&D Data Management, Agile Methodologies. Lead the digital delivery of next generation scientific data analytics platforms. Define the vision, strategy, and roadmap for digital product(s) that enable researchers to extract meaningful insights from complex proteomics data, high-throughput screening results, and experimental datasets”
What You'll Achieve.
Drive high maturity; Ensure effective product prioritization; Ensure timely delivery and high-quality outcomes through regular releases; Deliver outcomes aligned to R&D business needs and value; Support digital product go/no-go recommendations at stage gates based on supporting data and evidence; Define, monitor, and analyze business and performance related product-level KPIs; Accelerate drug discovery and development through streamlined data analysis workflows, advanced visualization capabilities, and integrated analytics solutions that transform raw scientific data into actionable intelligence; Help reduce time from discovery to commercialization, delivering life-changing medicines to patients faster than ever
Industry & Context.
problem-solving skills and ability to derive value from data pipelines and workflows to address business challenges
What They're Looking For.
Must Have
5+ years of experience in product management, project management in a technical field, R&D data management, or other related field, Advanced degree (PhD, MS) in a relevant scientific field (e. g. , Chemistry, Structural Biology, Bioengineering, Computational Sciences) or equivalent industry experience, Proven experience in digital product management, particularly in digital research lab systems within the pharmaceutical R&D or life sciences context, understanding of laboratory workflows, drug discovery and development processes, Track record of delivering high-impact products in pharmaceutical research or life sciences, demonstrating ability to meet time, scope, cost, and quality expectations, Experience developing products with Agile methodologies, Experience leading cross-functional teams and managing complex projects, Excellent communication and collaboration skills, with ability to bridge technical and business teams, Strong facilitation skills in design-thinking workshops and ideation sessions with diverse stakeholder groups, problem-solving skills and ability to derive value from data pipelines and workflows to address business challenges, Experience in building and maintaining relationships with stakeholders, understanding their needs, and translating them into effective data products, Fluent in English (spoken and written)
What You'll Do.
Lead the digital delivery of next generation scientific data analytics platforms
and roadmap for digital product(s) that enable researchers to extract meaningful insights from complex proteomics data
high-throughput screening results
and experimental datasets
Empower the organization to accelerate drug discovery and development through streamlined data analysis workflows
advanced visualization capabilities
and integrated analytics solutions
Collaborate closely with R&D business stakeholders to develop a clear vision
ensuring products evolve with R&D business needs and drive high maturity
Lead the strategic demand ideation of Digital Products
Source external innovation
Coordinate with R&D business and key stakeholders
Drive ideation working sessions
Ensure effective product prioritization
Develop the long-term strategy and delivery roadmap for products
Provide input to delivery team for Product improvements or expansion requests
Support with the triaging of operational demand against Product roadmaps and delivery plans
Lead the product development process
from ideation to launch
ensuring timely delivery and high-quality outcomes through regular releases
Develop a detailed and executable product delivery plan and timeline across design
Lead the product through governance requirements
establish user stories
Manage backlog refinement and drive features prioritization effort
Drive and coordinate the selection of development tools
Communicate effectively across non-technical stakeholders
technical stakeholders
and engineering teams
Support digital product go/no-go recommendations at stage gates
and analyze business and performance related product-level KPIs
Report outcomes to team leadership and key collaborators
Prepare and present reports to senior management on product performance
and areas for improvement
Participate in demos and retrospectives
Stay current on industry trends
emerging technologies
and best practices in product management and data analytics
Foster a culture of innovation
and continuous learning within the product team
How You'll Work.
Team & Collaboration
Collaborate closely with R&D business stakeholders; Coordinate with R&D business and key stakeholders; Collaborate with stakeholders to understand R&D business needs; Communicate effectively across non-technical stakeholders, technical stakeholders, and engineering teams; Collaborate with diverse vendors and major internal & external stakeholders; Experience leading cross-functional teams; Excellent communication and collaboration skills, with ability to bridge technical and business teams; Strong facilitation skills in design-thinking workshops and ideation sessions with diverse stakeholder groups; Experience in building and maintaining relationships with stakeholders
Communication Scope
Excellent communication and collaboration skills, with ability to bridge technical and business teams; Communicate effectively across non-technical stakeholders, technical stakeholders, and engineering teams; Fluent in English (spoken and written)
Process & Methodology
Product management, Project management, Agile methodologies, Develop a detailed and executable product delivery plan and timeline, Manage backlog refinement and drive features prioritization effort, Experience leading cross-functional teams and managing complex projects
Full Job Description
**Job Title** :_Product Owner Scientific Data Analytics_ * _**Location:** Cambridge, MA_ **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, turning the impossible into possible for millions of people. As one of the leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our products empower self-care, prevent and treat diseases, and help people live better. 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. The Digital Lab and Plant Operations team is one of the verticals within Digital R&D, focused on developing and delivering digital products to allow the R&D organization to run efficiently and reach its strategic goals. Our team plays a critical role equipping the R&D organization to run efficient and modern lab and plant operations that keep pace with science, while fueling AI-enabled decision making with scientific data. As the **Product Owner Scientific Data Analytics** , you lead the digital delivery of next generation scientific data analytics platforms for the organization. Working with R&D scientists, bioinformaticians, and laboratory teams, you will define the vision, strategy, and roadmap for digital product(s) that enable researchers to extract meaningful insights from complex proteomics data, high-throughput screening results, and experimental datasets. You empower the organization
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