Data and AI Engineering Manager - Core Digital Products

Reference No. R2844668
Position Title: Data and AI Engineering Manager - Core Digital Products
Department:  Data Mesh, Analytics & Governance Platforms
Location: Toronto, ON

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 of 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.

Who You Are

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.

About Sanofi:
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.
 

Main Responsibilities:

• 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 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.

About You

Key Functional Requirements & Qualifications

• Strategic thinker with the ability to bridge business strategy and technical execution, ensuring data engineering solutions deliver measurable business value

• Proven experience working in cross-functional teams 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 clear, 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

Key Technical Requirements & Qualifications

• Bachelor's/Master's degree in Computer Science, Engineering, Business, or STEM (science, technology, engineering, mathematics) field, with 5-8+ years of relevant working experience

• Significant experience (typically 8+ years) in engineering roles, with increasing levels of responsibility and complexity.

• Demonstrated experience (typically 1-3+ years) in leading, mentoring, or technically guiding other engineers or team members.

• Proven track record of successfully designing, building, and deploying complex data platforms and data products, with deep knowledge of modern data engineering tech stack

• (Airflow, DBT, Snowflake and AWS native services).

• Experience with Agile methodologies and the ability to manage projects from conception to deployment.

• Solid understanding of data governance principles, data security best practices, and data quality management. Proven experience orchestrating complex data workflows and managing dependencies using Airflow or similar workflow orchestration tools

• Solid 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

• Strong grasp of data governance principles, data quality management, and data security best practices

• 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 Haves

• Experience working in the life sciences, pharmaceutical, or healthcare industry

• Familiarity with data observability and monitoring tools (Monte Carlo, Great Expectations, etc.)

• 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, etc.)

• Understanding of pharmaceutical R&D, manufacturing, or commercial business processes

• Certifications in Snowflake, AWS, or relevant data engineering technologies

• Previous experience in consulting or working across multiple business domains

Why Choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

Applications received after the official close date will be reviewed on an individual basis.

This position is for a current vacant role that we are actively hiring for.

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

#GD-SP ​
#LI-SP                        

#LI-Onsite    
#DBBCA

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

$125,300.00 - $208,800.00

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:

$125,300.00 - $208,800.00

La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien