Data Engineering Manager, Research and Portfolio

Sanofi; Toronto; On-site; CAD 120,000 - 150,000; Full time

Job summary

A global healthcare innovator is seeking a Data Engineering Manager in Toronto to lead a talented team focused on developing Data and AI products. The role involves enhancing data pipelines and engaging in AI initiatives, requiring significant engineering experience, leadership skills, and a strong background in data governance. Join a company committed to transforming healthcare through technology, working in a collaborative environment with numerous opportunities for growth.

Benefits

Health and wellbeing benefits

Growth and development opportunities

Supportive work environment

Qualifications

• 8+ years experience in engineering roles.
• 1-3 years experience leading or mentoring teams.
• Expertise in designing and deploying data platforms.

Responsibilities

• Lead a team of data engineers in an agile environment.
• Provide technical leadership and guidance.
• Drive engineering excellence and best practices.

Skills

Leadership

Data governance

Agile methodologies

Data product management

Communication

Education

Bachelor’s degree in Computer Science or Engineering

Master’s degree (preferred)

Tools

Airflow

DBT

Snowflake

AWS native services

Job description

Reference No. R2821636

Position Title: Data Engineering Manager, Research and Portfolio

Department: Data Engineering

Location: Toronto, Canada

About the Job

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as a Data Engineer and you can help make it happen.

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.

The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.

As a Data Engineering Leader, will lead a team of data engineers in an agile environment to deliver Data & AI Products in R&D. You will be responsible to lead the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will take the lead on multiple data products serving multiple areas of the business within R&D.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
• Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack.
• World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities

• Provide technical leadership and guidance to the data engineering team, acting as a point of escalation for complex technical challenges and unblocking developers to maintain project momentum.
• Lead the recruitment, hiring, onboarding, and retention of a talented and collaborative engineering team.
• Develop, lead, and empower an efficient, effective, and agile engineering team to deliver exceptional capabilities and services across the entire data foundation ecosystem.
• Foster effective teamwork and collaboration with all internal and external stakeholders, including cross-functional business teams, digital functions, and third-party technology partners.
• Drive engineering excellence by establishing best practices for engineering standards and processes, as well as by implementing innovative solutions to improve development efficiency and quality.
• Oversee the implementation and enforcement of data governance policies and best practices within their area of responsibility, ensuring data quality, accuracy, security, and compliance with relevant regulations.
• Manage project timelines, resources, and budgets for data engineering initiatives within their scope, ensuring projects are delivered on time and within budget.
• Drive innovation and the adoption of new data technologies and best practices within the data engineering team, staying updated with industry trends and advancements.

About You

Key Qualifications

• Bachelor’s degree or above in Computer Science, Engineering, or a related field. A Master’s degree is preferred.
• 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.
• Strong business and data acumen, preferably with 2+ years of experience working in the multinational pharmaceutical industry, possessing a deep understanding of the pharmaceutical R&D business process and model.
• Product-oriented mindset, with a deep understanding of the methodology for implementing data as a product and a passion for driving data democratization.
• Excellent communication, interpersonal, and negotiation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

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 current vacant role that we are actively hiring for.

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.

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.