Data and AI Workflow Engineer Catalyst

Remote, USA Full-time
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 Company Overview Sanofi is a global biopharma company focused on prescription drugs, vaccines, and treatments for chronic, rare, and infectious diseases. It was founded in 1973, and is headquartered in Paris, Ile-de-France, FRA, with a workforce of 10001+ employees. Its website is
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