Product Owner

Sanofi•Toronto, ON

1d•Onsite

About The Position

Sanofi is undergoing a significant digital transformation, with a focus on accelerating data initiatives and adopting AI/ML solutions to enhance R&D, manufacturing, and commercial performance. The R&D Data & AI Products and Platforms Team is central to this transformation, aiming to democratize data and scale AI/ML capabilities. This Product Owner role will lead the development of innovative software products for Scientific Workflow Engineering in AI/ML, including ML Ops workflows and generative AI for protein design, protein folding, and structural chemistry. The role involves collaborating with scientists and technical stakeholders, managing the product lifecycle, and working with a scrum team of data and platform engineers to deliver impactful digital products for scientific research.

Requirements

Bachelor Degree or Master’s degree or Ph.D. with 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.
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.

Nice To Haves

Experience with cloud platforms, AI platforms, and data pipelines is a plus.

Responsibilities

Lead the development and evolution of digital products supporting bioinformatics workflows and ML operations, ensuring alignment with scientific, research, and business objectives.
Own the product roadmap, defining clear and actionable goals that align with the company's strategic direction and the needs of scientific teams.
Act as a bridge between scientists and product teams, ensuring outcomes meet business needs and deliver value.
Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define product development priorities.
Collaborate with scientists, data engineers, and platform engineers to ensure products meet scientific and technical requirements.
Partner with senior leaders and cross-functional teams (R&D, technology, operations) to ensure alignment and support for the product strategy.
Oversee the agile product development process, ensuring smooth product delivery from conception to iteration.
Mitigate risks and issues during product delivery, and provide regular product updates.
Partner with the Scrum Master and delivery team to ensure timely sprints, address challenges, and resolve ambiguities.
Manage backlog prioritization, balancing short-term deliverables with long-term goals.
Track product performance and impact post-launch, gathering feedback for continuous improvement.
Monitor user satisfaction, adoption, and scientific outcomes to ensure product evolution meets researcher needs and business goals.
Bring a deep understanding of scientific workflows in bioinformatics and ML operations, including generative AI, protein design, folding, and structural chemistry.
Stay updated on industry trends and emerging technologies, proposing innovative solutions.
Inspire and lead the engineering team by articulating a clear product vision and demonstrating the potential of innovative solutions.