Reference No. R2794590
Position Title: Product Owner – Research and Transversal AI,ML Workflows
Department: R&D Data Products and Platforms
Location: Toronto, Ontario

ABOUT THE JOB

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as a Data Product Owner and you can help make it happen.
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.
We are looking for a Product Owner to lead the development of innovative software products supporting Scientific Workflow Engineering in AI/ML. This includes advanced machine learning-based (ML Ops) workflows, including generative AI for protein design, protein folding, and structural chemistry.
As the Product Owner, you will be responsible for collaborating with scientists and technical stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers and full-stack platform engineers to deliver high-impact digital products that empower cutting-edge scientific research and innovation.

KEY FUNCTIONAL REQUIREMENTS & QUALIFICATIONS:

• Master’s degree in computer science, bioinformatics, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus.
• 5+ years in product management, preferably with experience in bioinformatics, life sciences, or AI/ML platforms.
• Experience leading product development in scientific environments, particularly in areas like small molecule and large molecule research.
• Familiarity with cloud environments such as AWS to build and deploy scientific and AI/ML workflows.
• Strong understanding of machine learning operations (ML Ops), particularly in generative AI, protein design, protein folding, and structural chemistry.

KEY TECHNICAL REQUIREMENTS & QUALIFICATIONS:

• Comprehensive knowledge of Agile methodologies, including experience working in Scrum teams.
• Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related.
• Familiarity with bioinformatics tools and ML frameworks for scientific applications.
• Strong understanding of UX/UI, application design, and data engineering principles.
• Experience with cloud platforms, AI platforms, and data pipelines is a plus.

Please refer the Job description for details