Operations Manager - AI and Computational Sciences
Department:
Scaled Data Science Models
Location:
Toronto, ON ( Hybrid)
About the Job
Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you'll be empowered to learn, ask questions, and bring your ideas to life - all while supported by inspiring mentors and collaborative teams.
We are seeking an Operations Manager to drive operational excellence within Digital R&D's AI Computational Sciences team. This role combines process management expertise with agile delivery practices to support both our team's day-to-day operations and facilitate the management of strategic Gen AI initiatives. The ideal candidate will demonstrate both operational rigor, strong interpersonal skills, and adaptability to emerging technologies.
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
Agile Delivery Operations
Coordinate and standardize agile delivery practices across teams
Support teams in developing and tracking OKRs/KPIs
Facilitate capacity planning and resource allocation optimization
Drive tool optimization for Jira, Confluence, and other platforms
Identify and help remove operational blockers
Gen AI Guiding Coalition
Facilitate the implementation of a new process to support GenAI initiatives
Run and execute coalition rituals and workflows to ensure proper delivery of the initiatives pipeline
Coordinate between initiative leads and stakeholders to maintain alignment and remove blockers
Continuous Improvement
Identify operational opportunities across team workflows
Design and implement process solutions to improve team efficiency
Facilitate operations alignment between the team and Sanofi's broader Digital R&D department
About You
Qualifications
Required
Bachelor Degree
3-5 years of experience in process management in a scaled agile environment
Demonstrated track record of implementing process improvements
Experience with agile methodologies and tools (Jira, Confluence)
Strong stakeholder management and communication skills
Experience in coordinating cross-functional initiatives
Preferred
Familiarity with data/AI product development lifecycle
Exposure to product management practices
Agile certifications (e.g., Scrum Master, PSPO)
Data analysis and reporting capabilities
Success Factors
Quick to understand existing processes and relationships
Proactive problem-solver with strong facilitation and coordination capabilities
Bridge technical AI concepts and R&D practices to effectively support the team
Work Environment
Hybrid role based in Toronto
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 current 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.
Toute compensation sera determinee en fonction de l'experience demontree. Les employes peuvent etre admissibles a participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplementaires sur les avantages sociaux peuvent etre trouvees ici.
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