Position title: Data Product Owner, Research

Department: Research, CMC & Portfolio Data Products

Location: Toronto, ON

We are seeking a Data Product Owner, Research to lead the strategy, roadmap, and delivery of a portfolio of high-impact data products that enable R&D portfolio management. These products empower Sanofi teams to plan, evaluate, and optimize across the drug development pipeline, spanning programs, indications, and stages of development.

As a product leader in this product line, you will drive alignment with key stakeholders, influence enterprise-wide data architecture decisions, and build best-in-class data products that provide capabilities such as data hubs, metadata lineage, timeline modeling, and analytics enablement.

Main Responsibilities:

Strategic Leadership:

• Define and own the data product strategy, enabling high-quality, harmonized, and accessible data to support strategic decision-making in R&D.
• Partner with stakeholders to align product vision to business priorities and regulatory requirements.
• Ensure the roadmap is scalable and flexible to meet global and therapeutic-area specific needs.
• Lead quarterly and annual planning, prioritizing initiatives based on impact, resource capacity, and scientific value.
• Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value.
• Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the "What" and "Why" of product development.

Product Management

• Oversee a suite of interconnected in silico fabric data products (e.g., program hierarchy models, timeline data APIs, asset metadata stores, risk modeling tools).
• Oversee cross-product dependencies, ensuring interoperability, governance alignment, and compliance with data quality standards.
• Ensure all products follow best practices in FAIR data principles, CI/CD delivery, and audit-readiness.
• Build and manage a shared services model across product teams, including re-usable data assets, common pipeline components, and metadata catalogs.

Cross-Functional Collaboration

• Collaborate with Digital R&D platform leads, enterprise data governance teams, and AI/ML leaders to influence data infrastructure investments.
• Partner with R&D Management, Strategy & Operations, and Finance teams to ensure in silico fabric data products meet real-world decision-making needs.

Team Development & Leadership

• Cultivate a culture of accountability, agility, innovation, and user-centered thinking.
• Promote knowledge sharing, collaboration, and continuous learning across product domains.

Delivery Excellence

• Ensure timely and high-quality delivery of data products in alignment with sprint plans and release milestones.
• Champion agile product development and iterative delivery, balancing short-term execution with long-term product health.
• Drive measurement of impact through business KPIs, data usage metrics, and stakeholder satisfaction.
• Resolve escalated product or delivery risks, and coordinate mitigation strategies across internal and external teams.

About You:

Key Functional Requirements & Qualifications:

• Master's degree or higher in life sciences, computer science, data science, or a related field. Ph.D. or MBA is a strong plus.
• 8+ years of experience in data product management, operations, or digital product development in life sciences.
• Strong familiarity with R&D management processes, systems, and use cases.
• Proven leadership experience influencing cross-functional teams and driving digital or data transformation in R&D.
• Ability to define product vision and strategy and translate that into team deliverables and stakeholder outcomes.
• Excellent communication and executive presentation skills, including the ability to represent the organization at internal and external forums.
• Proven track record of hiring, developing, and retaining top product talent.

Key Technical Requirements & Qualifications:

• Strong knowledge of Agile/Scrum methodologies, product management, and iterative product development.
• Understanding of metadata management, data catalogs, data lineage, and cloud-native data architecture (e.g., AWS, Snowflake, Databricks).
• Experience managing CI/CD pipelines and product releases for data infrastructure.
• Experience working with product tools like Jira, Confluence, Miro, and enterprise data platforms.
• A strong data-driven mindset, with the ability to balance innovation with compliance and operational excellence.
• Understanding of analytics, forecasting models, or program-level risk tracking is a strong asset.

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.

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.

The salary range for this position is:
124,800.00 - 174,800.00 (Includes target bonus)
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:
124,800.00 - 174,800.00 (Comprend le bonus cible)
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien