Data Product Owner, Portfolio Data Products.

R2835401 Data Product Owner, Portfolio Data Products

Location: Toronto, ON

About The Job

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 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 are 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 Portfolio Data Products. These include data products built from source data from enterprise systems.

As the Data Product Owner, you will be responsible for collaborating with business 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 digital of core data products that support research and development portfolio management

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

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

Collaboration & Stakeholder Management:

• Work closely with data consumers (Digital and Business), data engineers, and platform engineers to ensure the product meets both functional 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.

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

• 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.

• ·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 deep understanding of research and development portfolio processes to align the product vision with real needs.

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

About You

• Bachelor’s or master's degree in computer science, data science, Engineering or a related scientific field. Ph.D. is a plus.

• 5 years in product management or at least in project management.

• Experience leading product (or service) development in pharmaceutical environments, particularly research, manufacturing or development is preferred.

• Knowledge on data integration and computing

• Familiarity with cloud environments such as AWS.

• Strong understanding of artificial intelligence and machine learning.

Technical Skills:

• Solid knowledge of Agile methodologies, including experience working in Scrum teams.

• Familiarity with Database, data integration and data engineering.

• Strong understanding of UX/UI, application design, and data engineering principles.

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

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 we are actively hiring for.​

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

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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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.