
General Medicines
Where bold ideas and groundbreaking science shape
the future
of care
AI and Data Science Technical Analyst-Manager
At a glance
With us, you’ll break new ground across a growing and diverse portfolio – from established medicines that millions rely on to pioneering breakthroughs in immunology and chronic disease care. Imagine the scale: your work will help deliver treatments to people around the world who live with diabetes, cardiovascular disease, and complications arising from transplant.
Fueled by groundbreaking advances in technology, we are accelerating innovation and expanding access faster than ever. If you’re ready to push boundaries, embrace the power of AI and digital tools, and shape the future of healthcare, this is where your ambition meets impact.
Reference No. R2811007
Position Title: AI and Data Science Technical Analyst-Manager
Department: Data Science and Applied AI, EDGE
Location: 1755 Steeles Ave W, North York, ON (Hybrid - 3 days a week onsite)
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.
About Sanofi: Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people’s lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success.
About E.D.G.E.: Sanofi’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians’ experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.
We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers. This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines. You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans.
You will orchestrate the work of a team that uses clinical and real-world data to create innovative data products and projects. Your leadership will ensure that our versatile teams deliver innovative, production-ready models and solutions that provide a competitive advantage for Sanofi.
We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue Progress to make a real impact on millions of patients around the world.
Main Responsibilities:
Product Vision and Strategy: Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders.
Roadmap and Execution: Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team.
Cross-Functional Leadership: Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams.
Stakeholder Management: Serve as the primary point of contact between the technical team and non-technical stakeholders, including researchers, clinicians, and business unit leaders. Translate and champion the team's advanced analytics capabilities and results to a broader audience.
Requirement Definition: Work with stakeholders to identify areas for data-driven improvement, gathering requirements and translating them into technical specifications and user stories for the development team.
Process Management: Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models.
Data and Technology Oversight: Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence. Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement.
About You
Key Requirements & Qualifications:
Educational Background: A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees.
8 years Product Management Experience: Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products.
Technical Fluency: Strong understanding of the data science and machine learning landscape. You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps. While you won't be coding daily, you must be comfortable discussing technical approaches and challenges with engineers and scientists.
Domain Knowledge: Experience with healthcare data sources, such as electronic health records (EHRs), clinical trial data, or other biomedical datasets is highly preferred.
Leadership and Communication: Demonstrated ability to lead cross-functional teams and collaborate effectively. You possess excellent written and verbal communication skills, with a talent for data storytelling and translating complex technical concepts for non-technical audiences.
Problem-Solving Skills: A passion for solving complex problems with a desire to make a tangible impact on patient outcomes.
Preferred Skills:
Familiarity with data science languages and tools such as Python, R, JIRA, Confluence.
Knowledge of big data analytics platforms and ML libraries (e.g., Databricks, SageMaker, TensorFlow, PyTorch).
Experience with data visualization tools like Tableau, Plotly, or Streamlit.
Experience in the software/digital development and pharmaceutical industries and a solid understanding of the clinical research process.
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.
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.
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.
Pursue Progress. Discover Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com
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Why work with us
- Do the never done before. We push the boundaries of what’s possible: expanding access, accelerating innovation, and finding new ways to improve everyday health for millions.
- Drive the transformation. We’re leading the shift to AI-powered healthcare, using digital tools to reinvent how medicines are developed, manufactured, and delivered worldwide.
- Deliver at scale. Our reach is unmatched—we bring trusted treatments to millions worldwide, ensuring broad access and real-world impact at every stage of care.
- Make an impact that matters. From tackling global health challenges to advancing sustainable, inclusive healthcare, everything we do is driven by purpose.
Who ignites your potential?
For Sam, it was her mom—teaching her to listen, push boundaries, and put patients first. At Sanofi, we know your inspiration drives your impact. Bring your passion, and together, we’ll chase the miracles of science.

"Each disease, each country, each person brings opportunities that challenge us to push the boundaries, to think of better ways to look at healthcare and pioneer new possibilities."

Olivier Charmeil
Executive Vice President, General Medicines
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