Data and AI Engineering Manager - Core Digital Products

Reference No. R
Position Title: Data and AI Engineering Manager - Core Digital Products
Department: Data Mesh, Analytics & Governance Platforms
Location: Toronto, ON

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative team.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

You are a strategic Data & AI Engineering leader with a passion for driving enterprise-wide digital transformation through robust Data foundations and modern Data & AI engineering practices. You thrive in cross-functional environments, working at the intersection of business strategy and technical execution to deliver transversal digital initiatives that span multiple business units and functions.

In your role, you will be reporting directly into the Head of Data, AI and Governance Platforms, serving as the technical anchor for Data Engineering across strategic digital initiatives. You will work closely with multiple stakeholders across Digital, Data, IT, and business functions to design, build, and operationalize scalable data assets and products that enable data-driven decision-making across Sanofi. You are an influencer who can translate complex technical concepts into business value while maintaining the highest standards of data architecture, quality, and governance.

You bring deep expertise in modern data engineering tools and practices—particularly DBT, Airflow, and Snowflake—and have a proven track record of building cloud-native data platforms that serve as the foundation for analytics, AI/ML, and operational excellence. You are comfortable navigating ambiguity, driving alignment across diverse stakeholders, and establishing best practices that can scale across the enterprise.

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

• Lead the design, development, and delivery of enterprise data engineering solutions supporting transversal digital initiatives
• Partner with Digital Strategy & Operations leadership to translate strategic priorities into actionable data engineering roadmaps and deliverables
• Build and maintain robust, scalable data pipelines and workflows using modern data stack technologies (DBT, Airflow, Snowflake) to ingest, transform, and deliver high-quality data products
• Establish and champion data engineering standards, best practices, and reusable assets that drive efficiency, consistency, and quality across the organization
• Collaborate with cross‑functional agile teams including data scientists, analysts, product managers, and business stakeholders to understand requirements and deliver fit‑for‑purpose data solutions
• Implement and enforce data governance policies, data quality frameworks, and security standards to ensure compliance and trustworthiness of data assets
• Drive the adoption of "data as a product" principles, treating data assets as products with clear ownership, SLAs, documentation, and user support
• Support lifecycle management of deployed data products including monitoring, troubleshooting, optimization, change management, and continuous improvement
• Contribute to and help lead the data engineering community of practice, fostering knowledge sharing, innovation, and technical excellence
• Manage project timelines, resources, and dependencies for data engineering initiatives, ensuring on‑time delivery and alignment with strategic…