Head of Data Science - Manufacturing and Supply Chain

Reference no. R2853094

Position title:

Head of Data Science - Manufacturing and Supply Chain

Department:

Digital M&S Data & Analytics

Location:

Toronto, ON

About The Job 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 seeking an experienced and visionary leader to lead our Digital Manufacturing and Supply Chain (M&S) Data and AI organization. This is a senior leadership role responsible for influencing Data and AI strategy for M&S business, advancing cutting-edge AI capabilities (including agent-based systems), and leading a high‑performing team of 20+ professionals.

You will be a key driver of digital transformation, leveraging advanced analytics, machine learning, and agentic workflow to optimize operations, improve resilience, and unlock business value at scale.

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.

Hybrid – 3 days per week onsite is required.

Main Responsibilities Executive Leadership & Strategy

Define and own the long‑term data science vision and roadmap for Manufacturing and Supply Chain.

Serve as a strategic advisor to executive leadership on AI‑driven transformation opportunities.

Champion the adoption of next‑generation AI technologies, including agent‑based and autonomous systems.

Translate complex analytical capabilities into measurable business outcomes.

Organizational Leadership

Lead, inspire, and scale a multidisciplinary and global team of 20+ data scientists, ML engineers, and analytics leaders.

Build a strong leadership bench, mentoring managers and senior individual contributors.

Establish a culture of innovation, accountability, and continuous development.

Drive organizational design, talent strategy, and succession planning.

Enterprise Delivery & Impact

Oversee a portfolio of high‑impact initiatives across manufacturing and supply chain.

Ensure delivery of scalable, production‑grade data science solutions embedded into core operations.

Align cross‑functional stakeholders around priorities and execution.

Balance long‑term innovation with short‑term business value realization.

Technical & Innovation Leadership

Provide executive oversight on advanced modeling initiatives.

Champion the exploration, incubation and scaled adoption of AI agents and autonomous systems to transform manufacturing and supply chain operations.

Promote best practices in MLOps, model governance, and responsible AI.

About You Required Qualifications

Master’s degree in data science, analytics or related field is required.

12+ years of experience in data science, advanced analytics, or related fields.

7+ years of senior leadership experience, including managing managers and large teams.

Proven track record of leading enterprise‑scale data science transformations.

Deep expertise in machine learning, optimization, and statistical modeling.

Significant experience in manufacturing, supply chain, or industrial environments.

Demonstrated success influencing executive stakeholders and driving strategic initiatives.

Preferred Qualifications

Experience with agent‑based modeling, reinforcement learning, or autonomous systems.

Familiarity with Industry 4.0, IoT, and smart factory ecosystems.

Experience operating in complex, global organizations.

Leadership Profile

Strategic Visionary: Able to connect emerging AI trends to enterprise value.

Transformational Leader: Proven ability to lead change at scale across organizations.

People‑Centric Executive: Develops leaders, builds strong teams, and fosters an inclusive culture.

Collaborative Influencer: Trusted partner to cross‑functional and executive stakeholders.

Outcome‑Driven: Focused on delivering measurable, sustainable business impact.

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 and prevention and wellness programs.

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.

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.

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