Data and AI Workflow Engineer Catalyst

Sanofi is a leading global healthcare company focused on improving people's lives through innovative science. They are seeking a Data and AI Workflow Engineer Catalyst to join their Digital Team, where the role involves transforming core business processes through AI and workflow automation.

Responsibilities

• Gather, organize, and transform large, complex data assets using scripting and GUI-based tools to meet business needs
• Develop and maintain data and ML engineering solutions based on defined requirements and design specifications
• Build, test, and optimize data and ETL pipelines, ensuring high performance and reliability
• Create clear, standards-based documentation to support knowledge transfer, training, and ongoing maintenance
• Ensure data quality and proper management of data assets across the full data lifecycle
• Design data models and optimize query performance, leveraging standard data pipelines to deliver business value
• Collaborate with business and product teams to translate requirements into technical solutions
• Develop automated tests and support CI/CD pipeline practices in a cloud-first environment using modern tech stacks
• Design AI/ML applications and implement automated monitoring, adaptation, and validation in partnership with data scientists
• Build, deploy, and monitor production-grade ML models and algorithms, supporting the full ML lifecycle from experimentation to continuous improvement

Skills

• Must be legally authorized to work for Sanofi in Canada
• An undergraduate degree or higher in a STEM field preferred, with foundational business knowledge
• Experience with database systems (e.g., SQL, NoSQL), data structures, algorithms, computational methods and cloud computing
• Experience with any or all of data storytelling, strategy planning, project management, agile ways of working, business analysis, data analysis, data visualization, executive reports
• Strong oral and written communication skills, with the ability to tell a meaningful and persuasive story through reporting
• Strong critical thinker with decision-making and judgement skills. Demonstrated leadership potential (e.g. through Student Organizations, previous jobs, etc.)
• Working understanding of data engineering techniques with experience building and maintaining data pipelines (e.g., ETL, orchestration, automation)
• Experience with CI/CD practices and AI/ML orchestration workflows, ensuring disciplined model development and deployment is preferred
• Hands-on experience building generative AI or ML applications or working within a production software environment is a strong plus
• Ability to work across the full stack and move fluidly between programming languages and data platform / MLOps technologies (e.g.: Python, Spark, SnowPark, Github, MLFlow, Airflow, Snowflake, AWS, Elementum) as well as experience with cloud computing environments (e.g., AWS, Azure, GCP)

Benefits

• High-quality healthcare
• Prevention and wellness programs

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