About the JobData and AI Engineering Manager – Core Digital Products (Data Mesh, Analytics & Governance Platforms). Toronto, ON. Reporting directly to the Head of Data, AI and Governance Platforms, this role serves as the technical anchor for Data Engineering across strategic digital initiatives. The position involves working with stakeholders across Digital, Data, IT, and business functions to design, build, and operationalize scalable data assets and products that enable data‑driven decision‑making throughout Sanofi.Key ResponsibilitiesLead 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 objectives.Drive innovation and the adoption of new data technologies and best practices within the data engineering team, staying updated with industry trends and advancements.Lead the recruitment,



hiring, onboarding, and retention of a talented and collaborative engineering team.Core Qualities & SkillsStrategic thinker with the ability to bridge business strategy and technical execution, ensuring data engineering solutions deliver measurable business value.Proven experience working cross‑functionally within large, complex organizations to solve enterprise‑scale data challenges.Strong stakeholder management skills with the ability to influence and communicate effectively with executives, business leaders, and technical teams.Strong storytelling ability to translate complex technical concepts into explicit, compelling narratives for diverse audiences.Demonstrated ability to navigate ambiguity, work autonomously, and drive initiatives forward with limited direction.Experience establishing and scaling data engineering practices, standards, and governance frameworks across multiple teams or business units.Deep understanding of agile/scrum methodologies and experience working in product‑oriented, iterative development environments.Strong business acumen with the ability to understand organizational priorities and align technical solutions accordingly.Excellent written and verbal communication, presentation, and interpersonal skills.Ability to manage multiple priorities simultaneously in a fast‑paced, constantly evolving environment.Attention to detail combined with systems‑thinking and architectural intuition.Technical RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, Business, or STEM field, with 5–8+ years of relevant working experience.8+ years of engineering experience, with increasing levels of responsibility and complexity.1–3+ years of leading, mentoring, or technically guiding other engineers or team members.Proven track record of designing, building,



and deploying complex data platforms and data products using Airflow, DBT, Snowflake, and AWS native services.Experience with agile methodologies and managing projects from conception to deployment.Solid understanding of data governance, data security best practices, and data quality management.Experience orchestrating complex data workflows and managing dependencies with Airflow or similar tools.Strong understanding of data warehouse, data lake, and data lakehouse architectures; familiarity with data mesh principles.Experience with cloud platforms and services, preferably AWS (S3, Lambda, Glue, EMR, etc.).Knowledge of data integration patterns, including batch, streaming, and near real‑time processing.Experience with CI/CD practices, infrastructure as code, and DevOps principles for data platforms.Understanding of software development lifecycle, version control, and agile delivery methodologies.Nice to HavesExperience in life sciences, pharmaceuticals, or healthcare industry.Familiarity with data observability and monitoring tools (e.G., Monte Carlo, Great Expectations).Experience with source code management tools (GitHub, GitLab).Knowledge of visualization and BI tools (Power BI, Tableau, Looker).Familiarity with project management and collaboration tools (JIRA, Confluence, Azure DevOps).Experience with data science and ML platforms (Databricks, SageMaker).Understanding of pharmaceutical R&D;, manufacturing, or commercial business processes.Certifications in Snowflake, AWS, or related data engineering technologies.Previous consulting experience or work across multiple business domains.BenefitsEnjoy a thoughtful, well‑crafted rewards package that recognizes your contribution and amplifies your impact. The package includes high‑quality healthcare, prevention and wellness programs, and a wide range of health and wellbeing benefits.Salary Range$125,300 – $208,800 (based on experience, skills, location, and other factors). Additional benefits information can be found through the company’s benefit portal.Additional NotesNorth America applicants only.Equal OpportunitySanofi is an equal opportunity employer committed to diversity and inclusion. We welcome and encourage applications from all qualified applicants.#J-18808-Ljbffr

📌 Data And Ai Engineering Manager - Core Digital Products - $125,300 - $208,800 A Year (Winnipeg)
🏢 Sanofi
📍 Winnipeg