Jobs at Sanofi

Lead automation and manufacturing systems delivery for major biopharmaceutical investment projects. Responsibilities include developing automation strategies, planning project execution, designing control systems, integrating production, quality, and data platforms, coordinating vendors, managing risks, ensuring cGMP compliance, and standardizing systems across facilities. The role also embeds OT/ICS cybersecurity, data integrity, resilience, and smart-factory capabilities into large-scale manufacturing architecture.

Leads transversal finance activities across Sanofi Canada, including consolidated reporting, forecasting, budgeting, P&L management, legal entity governance, controls, and executive support. Owns finance digital and AI transformation, including AI-powered forecasting and Power BI adoption. Coordinates finance hub collaboration and Gross-to-Net process transition, while partnering across business units, corporate functions, and global teams to deliver strategic financial initiatives and change management.

Leads the design, development, deployment, and scaling of AI, machine learning, generative AI, and agentic AI solutions for commercial pharmaceutical operations. Owns the full AI product lifecycle, advises on architecture and modeling, partners with cross-functional stakeholders, ensures responsible AI governance, develops reusable frameworks, communicates insights, mentors technical staff, and supports organizational AI strategy and capability building.

Designs, develops, deploys, and supports production-grade Generative AI and Agentic AI solutions. Builds RAG systems, multi-agent architectures, AI copilots, reusable AI frameworks, orchestration workflows, and enterprise integrations. Collaborates with product, business, data, and engineering teams; ensures scalability, reliability, observability, security, privacy, governance, and regulatory compliance. Evaluates and improves AI applications, contributes to platform strategy, communicates technical decisions, and mentors junior technical staff.

Leads and mentors data engineering teams while designing, deploying, and operating scalable data pipelines and platforms supporting analytics, AI/ML, and commercial use cases. Provides architectural leadership across cloud-native platforms, distributed processing, orchestration, data integration, and streaming architectures. Manages delivery priorities, stakeholder requirements, operational excellence, incident response, standards, and continuous improvement across enterprise data engineering initiatives.