Jobs at Snowflake, Inc in Canada

Reference No. R2794597

Position Title: Data Product Owner – Research and Transversal Core Data Products

Department: Research & Transversal Products

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.

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 Core Data Products. These include data products built from source data from electronic lab notebook technologies in domains such as in vitro small and large molecule screens, next generation sequencing, proteomics, and digital pathology source systems.

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..

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

• Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

• World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets .

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

Product Ownership:

• Lead the development and evolution of data products that support bioinformatics and AI/ML workflows, ensuring they meet scientific, research, and business objectives.

• Own the data product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams.

• Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value. The product owner will be a master coordinator, driver, and translator.

• Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development.

Collaboration & Stakeholder Management:

• Work closely with scientists and data engineers to ensure the data products meet both scientific and technical requirements.

• Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards.

Product Delivery:

• Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations.

• Adept at mitigating risks and issues as they arise over the course of product delivery, along with reporting and providing regular product updates to broad forums.

• Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities.

• Partner with the data engineering and architecture leads to ensure data products are built according to data operations (DataOps) and standard architectural principles.

• Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas.

Continuous Improvement:

• Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements.

• Ensure that the data products are being used and maintained according to standard principles, and that redundant and/or derived data products are not fragmenting the overall data product landscape.

• Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals.

Technical Leadership & Strategic Vision:

• Bring a deep understanding of scientific and transversal source systems, particularly in areas like electronic lab notebooks, scientific reference and master data, and scientific metadata.

• Understanding of concepts in reference data and ontological/semantic data management, including use of CENtree and related ontology management platforms.

• Inspire and lead a team of data engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions.

About You

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 and/or life sciences.

• Experience leading data product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics.

• Familiarity with cloud environments such as AWS and Snowflake to build and deploy data products.

• Strong understanding of scientific source systems (e.g. Benchling, GeneData, iLab, 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.

Why Choose Us?

• 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

This position is for a new vacant role that is now open for applications.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

$125,300.00 - $180,966.66

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 through the LINK.

La fourchette salariale pour ce poste est la suivante:

$125,300.00 - $180,966.66

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien.