Product Line Manager – Global Data and AI Platforms - Vaccines

Reference No. R2845705

Position Title: Product Line Manager – Global Data and AI Platforms - Vaccines

Department: Data Mesh, Analytics & Governance Platforms

Location:Toronto, ON

About Sanofi

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.  

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

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.

Who You Are:

We are looking for a Product Line Manager – Global Data & AI Platforms to join our Digital Data & AI organization. This is a high-impact leadership role for someone who thrives at the intersection of product, platform technology, and enterprise-scale delivery. You will own the vision, strategy, accountability and execution for enterprise-scale Data and AI platform products that enable thousands of technical users across Sanofi to build, deploy, and scale AI and Data solutions with speed and confidence.

As Product Line Manager, you own the entire lifecycle of your product line — from ideation through exploration, validation, growth, sustainability, and eventual retirement. You are the key decision maker: you conceive, define, deliver, and evolve platform products to maximize business value. You are accountable not just for shipping features, but for delivering measurable outcomes through scalable, self-service platforms that make data and AI accessible to everyone who needs them.

This role requires you to operate fluidly across technology, data engineering, data science, and governance domains. You will build strategic partnerships, lead and mentor a team of Product Owners, Analysts and Scrum Coaches, and collaborate daily with platform and AIOps engineers,  and data scientists in agile pod structures.

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 building 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

About Sanofi:

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. 

Main Responsibilities:

Product Line Strategy and Vision:

• Define and communicate a compelling product line vision and roadmap aligned with Enterprise Data & AI Platform goals and Sanofi's enterprise digital strategy

• Establish the product ecosystem and build strategic partnerships across Sanofi Digital and Business groups to drive adoption, alignment, and exceptional user experience

• Identify common patterns across AI/ML use cases to build reusable, scalable platform capabilities that accelerate time-to-value

• Define KPIs, success metrics, and value propositions; make data-driven decisions using a clear framework

• Ensure platforms meet all quality, regulatory (Data Privacy, GxP, SOX), and cybersecurity requirements

• Rigorously evaluate Data and AI technology innovation in the market, and establish opportunities to introduce leading-edge platform components to Sanofi users

• Maintain operational excellence and resilience at global scale

Execution and Delivery:

• Manage the product backlog across the product line, ensuring clear priorities, continuous refinement, and well-defined requirements and user stories

• Define release strategy, deciding when sufficient value has been accrued to warrant a release to customers

• Partner with the central Digital Data organization to align on architecture, priorities, technical capability needs, and roadmaps

• Drive launch readiness and lead post-launch adoption across cross-functional teams

• Understand and adjust for the nuances of cloud, data, and AI infrastructure, vendor capabilities, and technical user needs

• Continuously assess and improve product management processes to maximize team efficiency, velocity, and impact

• Own the product line budget and resource allocation, ensuring efficient use of resources while achieving strategic goals

User Advocacy and Value:

• Act as the internal voice of technical users — representing data engineers, ML engineers, analysts, data scientists, and other platform consumers

• Lead change management initiatives including training programs, user onboarding, and support mechanisms to drive successful adoption

• Incorporate user feedback to deliver continuous improvements and measurable business value

• Track outcomes and continuously improve product value through defined success metrics and KPIs

Team Leadership and Collaboration:

• Build, lead, and mentor a team of Product Managers and cross-functional product team members to deliver on the product line vision and strategy

• Challenge, prioritize, and negotiate with business and digital partners to drive alignment toward the product vision

• Lead and influence teams without direct authority across organizational boundaries — rallying engineers, data scientists, and stakeholders around shared goals

• Collaborate daily with engineers, data scientists, ML engineers, and scrum masters in agile pod structures, providing guidance and resolving ambiguities

• Provide clear, consistent updates to senior leadership on product progress, challenges, and decisions

About You

Key Functional Requirements & Qualifications:

• 10+ years in digital product management, preferably within Digital Data and AI platforms or related technical platform domains

• A track record of building scalable data/AI platforms aligned to business outcomes, with self-service capabilities that empower technical users

• Proven experience leading product teams and driving agile product-development practices at enterprise scale

• Strong business acumen with the ability to seamlessly connect business priorities with technical solutions

• Skilled at prioritizing competing demands in complex, multinational environments

• Exceptional communication skills, both written and verbal, with the ability to influence senior leaders and diverse stakeholders

• Demonstrated ability to lead cross-functional teams without direct authority — clarifying requirements, resolving conflicts, defining roadmaps, and ensuring execution

• Creative problem-solver who challenges existing processes and proposes innovative approaches

• Naturally curious — asking "why" to uncover underlying needs and "how" to shape effective solutions

Key Technical Requirements & Qualifications:

• Deep understanding of data and AI platform products built for technical users, and the ability to collaborate effectively with engineers, ML engineers, and data scientists

• Strong knowledge of platform technologies (cloud, data, AI/ML) and how they enable business value at scale

• Experience with modern cloud ecosystems (AWS, Azure) and contemporary data platforms (Snowflake, data lakes, data warehouses, cloud-native solutions)

• Understanding of DataOps, MLOps, ML engineering, and AI/ML pipelines

• Exposure to data mesh architectures, API development, and cloud-native design patterns

• Background in Data Engineering, AIOps / MLOps, Data Science, Data Architecture preferred

• Bachelors degree required. Masters degree preferred.

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 and at least 14 weeks’ gender-neutral parental leave. 

• Build AI-powered, data/AI-centric products deployed at global scale

• Work with a leading-edge tech stack including AWS, Snowflake, Nvidia and more

• Collaborate in cross-functional pods with autonomy and ownership

• Grow your career through mentorship from industry leaders and renowned academics in AI and ML

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. 

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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.