Jobs at Sanofi

Processes Canadian payroll end to end, including data entry, uploads, audits, error resolution, reporting, compliance, year-end forms, and time-management corrections. Maintains payroll procedures and employee information, supports payroll managers and senior associates, provides customer service, and recommends process improvements. Requires a college diploma, three years of payroll experience, PCP accreditation, and proficiency with payroll, HR, time-tracking, and Microsoft Office systems.

Develop and maintain scalable full-stack software, microservices, and cloud-native applications that improve enterprise research workflows and data analysis. Translate requirements into performant, tested code; contribute to technical decisions, architecture, documentation, and engineering standards. Collaborate with product managers, scientists, and engineering teams while participating in code reviews, mentoring, and knowledge sharing. The role requires JavaScript or TypeScript with Node.js, React, cloud platforms, infrastructure as code, API design, cloud security, CI/CD, and DevOps experience.

Own the discovery, strategy, prioritization, delivery, and continuous improvement of data-centric digital products. Define measurable outcomes, manage backlogs and roadmaps, lead discovery experiments, align cross-functional stakeholders, and translate user needs into product direction. The role also supports adoption through training, rollout communications, hypercare, and feedback-driven improvements. Success requires product ownership experience, agile methodology expertise, data platform knowledge, and the ability to influence technical and business teams in a regulated enterprise environment.

Leads end-to-end consumer experience strategy for Sanofi’s digital products and services. Defines CX plans, principles, research-driven insights, measurement frameworks, and rollout processes; aligns user needs with product roadmaps and technical frameworks. Manages and mentors CX strategy employees and contractors, influences product and service direction, and partners across Digital, R&D, Engineering, corporate functions, and global business units to drive organizational change and improve consumer experiences.

Develop and deploy production-ready AI and machine learning models across analytics projects, using statistical modeling, NLP, forecasting, optimization, and advanced ML techniques. The role includes experimentation, data analysis, visualization, storytelling, lifecycle management, and collaboration with engineering and MLOps teams. Candidates will work with cloud and high-performance computing platforms to deliver AI data products in an agile environment.