Reference No. R2794599
Position Title: Data Product Owner – Research and Transversal Derived Data Products
Department: Research & Transversal Products
Location: Toronto, Ontario

YOUR JOB?

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 Data Product Owner to lead the development of innovative data products supporting Scientific Derived Data Products. These include data products built from processed bioinformatic and AI/ML workflow outputs including small molecule and protein optimization, next generation sequencing, and digital pathology workflows.
As the Data Product Owner, you will be responsible for collaborating with scientists and technical stakeholders, managing the full data product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers to deliver high-impact data 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, AI/ML and/or life sciences.
• Experience leading data product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics.
• Strong understanding of data operations toolkits (e.g. DBT, Airflow etc.).
• Strong drive and ability to articulate data product vision and align teams around shared goals.
• Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders.
• Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment.
• Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery.

KEY TECHNICAL REQUIREMENTS & QUALIFICATIONS:

• Solid knowledge of Agile methodologies, including experience working in Scrum teams.
• Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related.
• Strong understanding of data operations (DataOps), data warehousing, and data engineering principles including ETL, Snowflake, DBT, SQL, Python, and Airflow.
• Experience with cloud platforms and data pipelines is required.

Please refer the Job description for details