offres d’emploi chez Sanofi à Allemagne

Reference No. R2824623

Position Title : Senior Product Manager - Global Data Platform

Department : PLO AI Mesh Platform

Location : Toronto, Canada

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.

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.

We are looking for a Senior Technical Product Manager to lead Sanofi’s flagship global data platform — a role at the intersection of AI, cloud, and data engineering. You will define the vision, shape the roadmap, and work with world‑class teams to deliver products that transform how we use data and AI to improve health outcomes for patients worldwide.

This is a chance to influence Sanofi’s digital transformation, building an AI‑first organization and delivering global‑scale data products that enable advanced analytics, machine learning, and innovation across the company.

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

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?

• Define and own the product vision, roadmap, and outcomes for Sanofi’s global data platform
• Define the product ecosystem and ensure seamless interaction between components to provide an exceptional user and developer experience
• Establish strategic partnerships across Sanofi, including Digital and Business groups, to drive adoption and alignment.
• Connect business needs with technical capabilities to ensure alignment with organizational goals
• Prioritize initiatives and negotiate trade‑offs across diverse stakeholders

• Manage the product backlog, ensuring clear priorities and continuous refinement; empowered to make decisions related to product features, backlog prioritization, release planning
• Lead a team of Product Owners and Associates to deliver on the OneMesh vision and roadmap through coordinated release plans
• Assess and improve product management and delivery processes to maximize team efficiency, velocity, and impact
• Partner daily with engineers, data scientists, and scrum masters in an agile pod structure
• Drive launch readiness across cross‑functional teams and lead post‑launch adoption
• Understand and adjust for nuances and customizations required for technical platform product, including implications of cloud, data, and AI infrastructure, vendor capabilities, and key user needs
• Take ownership of product budget and resource allocation, ensuring efficient use of resources while achieving product goals

• Own the user experience - act as the internal voice of the user, representing data and ML engineers, analysts, data scientists, and more
• Define success metrics (KPIs, business value, technical performance indicators), track outcomes, and continuously improve product value
• Lead change management initiatives, including training programs, user onboarding, and support mechanisms, to enable successful adoption of new data products and features
• Incorporate user feedback to deliver continuous improvements and measurable business value
• Provide clear, consistent updates to leadership and executives on product progress, challenges, and decisions.

• Ensure solutions align with best practices in architecture, security, privacy, and regulatory requirements (GxP, SOX, data privacy)
• Oversee and facilitate integration across technology products and platforms, ensuring interoperability and consistency within Sanofi’s technology ecosystem
• Maintain operational excellence and resilience at global scale

• Strong business acumen with the ability to seamlessly connect business priorities and technical solutions
• Skilled at prioritizing across competing demands in a complex, multinational environment
• Naturally curious, asking “why” to uncover business needs and “how” to shape effective technical solutions
• Proven experience applying Agile product management practices to drive delivery
• Exceptional communication skills, both written and verbal, with the ability to influence diverse stakeholders
• Creative problem‑solver who can challenge existing processes and propose innovative approaches
• Hands‑on experience managing products for data and / or cloud platforms built for technical users
• Track record guiding large‑scale data platform initiatives (data lakes, warehouses, or cloud‑native solutions)
• Demonstrated leadership of cross‑functional teams, clarifying requirements, resolving conflicts, defining roadmaps, and ensuring execution

• Bachelor’s or master’s degree in computer science, information sciences, or other related field
• 9+ years’ experience in data transformation, migrations, and development / implementation of enterprise data platforms (cloud‑based, data lakes, or relational warehouses).
• Deep understanding of technical platform products and ability to collaborate effectively with engineers, ML engineers, and data scientists.
• Strong knowledge of platform technologies (cloud, data, AI) and how they enable business value.
• Hands‑on experience with modern cloud ecosystems (AWS preferred) and contemporary data / AI practices, including DataOps, MLOps, and ML engineering

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

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.

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.

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.