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Added 2 months ago
M
Director Data Engineering
McKesson
Mississauga, ON
- Full-time
…managing high-performing teams, and aligning data strategy with business objectives while managing large-scale data products built on modern data stack. This role involves collaborating…
Added 2 months ago
FL
Data Engineer (Databricks)
Fluent, LLC
Remote, Canada
- Full-time
- Remote
You are known as a strong and efficient IC Data Engineer, with the ability to assist in designing engineering solutions, data modeling, and building architecture. You are familiar with the…
Added 2 months ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
Develop the SDKs, APIs, and data visualizations that internal users interface with, treating developer experience as a first-class product concern.
Added 2 months ago
KC
AI/ML Engineer - Agentic AI Systems
Kaseya Careers
Toronto, ON
- $160,000 to $240,000 CAD / year
Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop…
Added 2 months ago
RB
Lead AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)
Added 2 months ago
R
Lead AI/ML Engineer
RBC
Toronto, ON
- Full-time
Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)
Added 2 months ago
X
AI Developer – Agentic System
Xanadu
Toronto, ON
- Full-time
As an AI Developer at Xanadu, you will play a crucial role in integrating generative AI into our R&D methodologies. This unique position allows you to contribute to the development of our…
Added 2 months ago
FR
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
- Full-time
…in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
Partner with AI Platform & Fabrics to ensure platform capabilities (Gateway, Policy Engine, Identity Fabric, Registry, Guardrails, Observability) realize the target architecture, and with…
Added 4 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 2 months ago
MT
Technical Staff Engineer–Applications
Microchip Technology Inc.
Toronto, ON · Montreal, QC · Burnaby, BC · Canada - Burnaby
- Full-time
…about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology…
Added 2 months ago
Applied Scientist, Tax Engine
Amazon
Vancouver, BC
…transactional distributed systems in the world? How about working with customers and peers from the entire range of Amazon's business and Science on complex real world problems, backed with…
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 2 months ago
W
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 2 months ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create…
Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 2 months ago
L
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
- Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Added 2 months ago
S
Lead Data and AI Engineer
Sanofi
Toronto, ON
- Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 2 months ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
…Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational…
Added 2 months ago
TA
Machine Learning Engineer (with Vertex AI Experience)
Tiger Analytics
Canada
- Full-time
Expert in Python with strong OOP and functional programming skills
Added 2 months ago
TR
Senior Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
Backend & AI Skills: Experience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design,…
Added 2 months ago
TR
Staff Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
Backend Skills & AI Skills: Hands-on experience building APIs and services with Python as a core language, working knowledge of Node.js, and working familiarity with GenAI concepts…
Added 2 months ago
GD
Cybersecurity Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Strong with C, C++, C#, and Python programming languages
Added 2 months ago
A
Software Engineer, Education
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Start strong: you will write production-quality code, maintain and connect systems, and collaborate with cross-functional teammates to deliver education features for Autodesk products. You…
Added 2 months ago
HT
Co-op Researcher - Physical AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Strong coding skills in Python, experience with coding in Pytorch.

Sanofi

Lead Data and AI Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: Minimum 8 years of experience in data engineering, analytics/AI engineering, or data platform development
Posting language: English
Posted: Aug 24, 2026

Original job description

Reference no. R2867104

Position title: Lead Data and AI Engineer

Department: US Commercial Data Engineering

Location: Toronto, ON

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

Who You Are:
You are a hands-on data and AI engineering leader with a strong background in building and operating data pipelines and platforms in complex enterprise environments. You bring a blend of technical depth, architectural thinking, and people leadership. You are comfortable guiding a team, partnering with stakeholders, and translating business needs into scalable and reliable data solutions.

You care about engineering quality, operational excellence, and continuous improvement. You have experience working across cross-functional teams and know how to balance delivery, governance, and long-term platform sustainability.

In this role, you will report directly to the Head of Data Engineering, Commercial US. You will provide architectural leadership and technical know-how across data pipeline construction, execution, and operations. You will work closely with teams across Data, Digital, Infrastructure, Cloud, Security, Agile, and key business stakeholders. You will also have direct people management responsibilities and the opportunity to shape and grow your 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 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.

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, mentor, and develop a team of data engineers while fostering strong engineering practices, accountability, collaboration, and continuous improvement
Design, build, deploy, and support scalable data pipelines and data products that enable analytics, AI/ML, and commercial business use cases
Lead discovery, solution design, and technical planning discussions with business, analytics, AI, and technology teams
Manage team delivery, priorities, capacity planning, and execution across multiple concurrent data engineering initiatives
Design, develop, test, and optimize scalable data engineering solutions and reusable data assets that support analytics, AI/ML, and business-critical workflows across global platforms
Partner with technical and non-technical stakeholders to clarify ambiguous business needs, shape solution approaches, and translate requirements into scalable data engineering solutions
Provide architectural and technical leadership across data pipeline orchestration, distributed processing, cloud-native platforms, and data integration patterns
Drive operational excellence across production data assets, including monitoring, troubleshooting, incident response, release management, and continuous improvement
Identify opportunities to automate, simplify, standardize, and optimize data engineering processes, reusable assets, and platform capabilities
Collaborate within cross-functional agile teams and partner with internal and external stakeholders to deliver high-quality data engineering solutions
Contribute to and evolve data engineering standards, best practices, and community knowledge sharing across the organization
Stay current with emerging technologies, industry trends, and modern data engineering practices to continuously improve platform capabilities and engineering effectiveness

About you

Qualifications:

Minimum 8 years of experience in data engineering, analytics/AI engineering, or data platform development
Minimum 2 years leading or managing engineering teams/projects
Demonstrated experience designing, building, and operating scalable data pipelines, data platforms, and distributed processing solutions using technologies such as Spark, Kafka, Snowflake, Hadoop, or similar
Strong experience with cloud-native data engineering and modern ETL/ELT solutions, preferably within Snowflake / AWS-based environments; Informatica/IICS experience preferred
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Experience with batch, near real-time, and streaming data architectures, as well as modern data warehouse, lake, and lakehouse concepts including data mesh principles
Strong understanding of data architecture, scalability, reliability, performance optimization, and operational support for enterprise-grade data platforms
Demonstrated ability to work with technical and non-technical stakeholders to navigate ambiguity, identify underlying business needs, and translate them into scalable technical solutions and execution plans
Strong communication, facilitation, and stakeholder management skills, with the ability to influence decisions and communicate complex technical concepts to diverse audiences
Experience partnering with cross-functional teams including analytics, AI/ML, product, infrastructure, security, governance, and business stakeholders
Experience operating in agile delivery environments with strong understanding of software engineering practices, CI/CD, release management, testing, and operational support
Experience leading engineering teams through delivery execution, prioritization, mentoring, performance management, and continuous improvement initiatives
Bachelor’s or Master’s degree in Computer Science, Engineering, STEM, Business, or a related field, or equivalent practical experience

Nice to haves:

Experience in life sciences, healthcare, or pharmaceutical industries
Experience with Airflow, dbt or similar orchestration and transformation tooling
Familiarity with data governance, data quality, and commercial data domains such as omni-channel, pricing, customer engagement, or sales analytics
Experience working with external vendors and offshore/onshore delivery models

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.

This position is for a new vacant role that is now open for applications.

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

#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:

158,200.00 - 208,200.00 (Includes target bonus)

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:

158,200.00 - 208,200.00 (Comprend le bonus cible)

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

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More about this job

Responsibilities

Lead, mentor, and develop a team of data engineers while designing and deploying scalable data pipelines and AI/ML solutions. Partner with cross-functional stakeholders to translate business needs into reliable data assets and drive operational excellence across global platforms.

Requirements

Requires a minimum of 8 years of experience in data engineering or analytics and at least 2 years of leadership experience. Candidates must possess strong technical proficiency in cloud-native data environments, SQL, and modern data architecture principles.

Skills

Data engineering
AI engineering
Data pipelines
Cloud-native platforms
Snowflake
AWS
Spark
Kafka
Python
SQL
Data modeling
People management
Architectural leadership
Agile methodology
ETL/ELT
Distributed processing

Benefits

Health insurance
Prevention and wellness programs
Rewards package

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Machine Learning
Spark
Kafka
Snowflake
Hadoop
AWS
Informatica
Python
SQL
Scala
Java
Data Mesh
Data Warehouse
Data Lake
ETL
ELT
Agile
CI/CD
Cloud-native
Distributed systems
Data modeling
Life sciences
Pharmaceutical
Airflow
dbt
Data governance
Commercial data
Digital transformation

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