Position title: Data Scientist ManagerDepartment: Commercial Data Science
Location: Toronto, ON (Flexible working - 40% home office / week)
We are seeking a highly skilled and visionary
Data Scientist Manager to drive innovation and impact at the intersection of AI and Commercial operations. This role will be a part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of Sanofi Digital Organization.
Main Responsibilities:- Lead and manage a team of Data Scientists and AI professionals, providing mentoring, coaching, performance management, career development, and technical leadership to build a high-performing organization
- Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning, Generative AI, and Agentic AI solutions aligned with Sanofi's Digital Global Business Unit strategic priorities, some examples of use cases are:
- Enhancing the patient journey through intelligent and personalized support
- Autonomous agents for omnichannel engagement
- AI & GenAI driven transformation of market access and payer strategies
- Conversational AI for data interactions and insights (Talk-to-data capabilities)
- Development of unified platform of sales, marketers and MSL users powered by multi-agent systems
- Agentic AI powered Market research and competitive intelligence platform
- Serve as the technical thought leader for product owners, business stakeholders, architects, engineers, and analytics teams by providing guidance on AI approaches, solution architectures, model selection, and implementation best practices
- Own the end-to-end AI product lifecycle from opportunity identification, business problem framing, experimentation, model development, deployment, operationalization, monitoring, and value realization across Commercial business functions
- Drive adoption of AI solutions by effectively communicating complex technical concepts and insights to executive and non-technical audiences through compelling storytelling and data-driven recommendations
- Establish and promote best practices, standards, reusable frameworks, and governance processes for AI, Machine Learning, Generative AI, and Agentic AI development across the organization
- Contribute to shape the Commercial AI, Data, and Platform strategies by contributing expertise on emerging technologies, operating models, and enterprise AI capabilities
- Ensure AI products adhere to Responsible AI principles, regulatory requirements, security standards, model governance frameworks, and enterprise risk controls
- Collaborate with global cross-functional teams across Product, Engineering, Data Engineering, Platforms, Architecture, and Business Functions to deliver scalable enterprise solutions
- Drive operational excellence by implementing MLOps and LLMOps best practices, establishing monitoring frameworks, managing model performance, and ensuring ongoing reliability of AI products
- Stay current with advances in AI, Generative AI, Agentic AI, machine learning, and industry trends, evaluating new technologies and identifying opportunities to accelerate innovation and business value
- Contribute to the broader Data Science and AI community through thought leadership, knowledge sharing, publications, innovation initiatives, patents, and technical communities of practice
- Support talent acquisition, workforce planning, and capability-building initiatives to strengthen the organization's AI and Data Science capabilities
About youRequired Qualifications:- Master or PhD Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Physics, Computational Linguistic or a related field
- 6+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or related disciplines, with a proven track record of delivering business impact through data-driven solutions
- 2+ years of hands-on experience in GenAI or LLM-based applications and familiarity of agentic AI frameworks
- 2+ years of experience leading, mentoring, or managing Data Scientists, ML Engineers, AI Engineers, or Analytics professionals in a matrixed or direct reporting environment
- Demonstrated experience owning and managing the end-to-end AI/ML product lifecycle, including problem framing, experimentation, model development, deployment, operationalization, monitoring, maintenance, and value measurement
- Strong expertise in machine learning methodologies including predictive modeling, classification, regression, forecasting, recommendation systems, optimization, causal inference, experimentation, and statistical analysis
- Hands-on experience designing and deploying enterprise Generative AI and LLM-powered applications, including Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, multi-agent systems, and orchestration frameworks
- Deep understanding of model development best practices, MLOps, LLMOps, model evaluation, monitoring, observability, and production AI operations
- Strong programming skills in Python and experience developing production-grade, scalable, and maintainable software solutions using modern AI/ML frameworks and software engineering practices
- Experience working with structured and unstructured data, data engineering concepts, and modern data platforms such as Snowflake, vector databases, and cloud-native AI services
- Experience building and deploying AI solutions on public cloud platforms such as AWS, or GCP and leveraging native AI/ML services
- Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI steps by building AI agents
- Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environment
- Experience with various enterprise-level Application Programming Interfaces (APIs)
- Knowledge of regulatory, compliance and ethical considerations in AI/GenAI
- Nice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence
Functional Skills:- Experience in communicating with business, expressing important AI, GenAI & Agentic AI concepts in a non-technical way, interpreting feedback from business
- Experience in leading the data science & AI projects and working closely with junior data scientists and data analystsAbility to proactively identify and manage blockers, risks, and interdependencies across agile teams
- Strong problem-solving, decision-making, and prioritization skills in a fast-paced and evolving environment
- Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
- Nice to have experience in life sciences and healthcare and experience in a complex global organization
- A demonstrated ability to work and collaborate in a team environment, working with multi-cultural global team
- Ability to work in a fast-paced, constantly evolving environment and to manage multiple prioritiesFluent in English (Other languages a plus)
When joining our team, you will experience:- An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
- An attractive, market-oriented salary and other benefits
- Flexible home office policy, with a possibility to work up to 40% of time from home / where you can easily schedule your office days
- Collective life and accident insurance
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
- Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
- An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
- Your professional and personal development will be supported purposefully
This position is for a new vacant role that is now open for applications. North America Applicants Only
The salary range for this position is:
158,200.00 - 208,200.00 (Includes target bonus)
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.
La fourchette salariale pour ce poste est la suivante:
158,200.00 - 208,200.00 (Comprend le bonus cible)
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien
