Job Description

Reference No. R2681345

Position Title: Data Engineering Manager (Head of Large Molecule Research Data Foundations)

Department: Data Strategy Program Management

At Sanofi, we chase the miracles of science to improve people\xe2\x80\x99s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people.

As one of Canada\xe2\x80\x99s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust. They empower self-care, prevent and treat diseases, and help people live better.

Location: Located in the downtown area of Toronto, Ontario Canada, our team uses a hybrid working model combining remote and office-based work.

The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they perform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.

If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi\xe2\x80\x99s Digital Transformation through becoming an AI first organization.

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 build 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.

Who You Are:
You are a dynamic people manager with a background in data engineering looking to drive globally scalable solutions for Sanofi\xe2\x80\x99s advanced analytic, AI and ML initiatives in our LMR digital center of excellence. You are an influencer and leader who has deployed data engineering and integration solutions with technically robust lifecycle management (e.g., new releases, change management, monitoring and troubleshooting). You have a keen eye for improvement opportunities while continuing to fully comply with all data architecture, platform, quality, and governance standards. You have worked with Research & Development (R&D) in pharma or biotech and are well versed in the use of technology to improve the design of drugs and molecules.

In your role, you will be reporting directly to the Head of the LMR Program, providing architectural leadership and know-how on data pipeline construction, execution, and operations. You will work closely with multiple transversal teams in Data (across foundational data platforms, business-facing AI products, and data portfolio management), Digital (infrastructure, cloud, security, Agile) and our research scientists. You will have direct people management responsibilities and accountabilities for a team of data engineers, with opportunities to shape your team at your discretion.

Key Responsibilities:

Work with the LMR business team globally to deliver value in the use of ML / AI to screen, design and optimize large molecules for drugs.

Lead and guide a team of data engineers and partner with respective teams (analytics / AI, digital, platform and scientists) to drive results as data engineering expert.

Work in a cross-functional agile pod to design and build hybrid-cloud solutions with automated pipelines that ingest, transform, and deliver data products reliably.

Understand complex business and design data and technology solutions, while aligning to platforms and architecture standards.

Support life cycle management of deployed data assets and products (e.g., new releases, change management, monitoring and troubleshooting).

Establish global data engineering standards and assets drive efficiency and simplicity for the center.

Define and execute a plan for development and sustainment of data products.

Lead / actively contribute to data engineering community.

Lead multidisciplinary teams, with and without external third-party partners/vendors, with direct supervisory and people management responsibilities.

Key Requirements:

Strategic thinker with the ability to act as a translator between Data and the LMR team, devising fit-for-purpose data engineering solutions and assets.

Experience working in cross-functional teams in large organizations to solve complex data architecture and engineering problems.

Relationship-oriented with the ability to communicate meaningfully and influence all levels of stakeholders.

Storyteller with the ability to translate complex technical jargon and concepts into something simple, accurate and understandable.

Ability to deal with ambiguity and work in autonomy with limited guidelines.

Effective written communication, presentation, and interpersonal skills.

Good understanding of agile/scrum development processes and concepts.

Able to work in a fast-paced, constantly evolving environment and manage multiple priorities.

Attention to detail & technical intuition.

Bachelor\xe2\x80\x99s/Master\xe2\x80\x99s in business, or STEM (science, technology, engineering, mathematics) preferred or relevant field, with 5+ years of relevant working experience in the life sciences/pharmaceutical/biotech industry.

Experience designing, developing, optimizing, and / or maintaining data solutions including pipelines, architectures and data sets.

Strong knowledge of data integration technologies, ETL / ELT, job flows using traditional and modern data engineering technologies, preferably Informatica/IICS.

Expertise in working with multimodal data systems and architecture including batch, near real-time, and streaming.

Demonstrated experience developing production solutions with distributed architectures and processing technologies (Spark, Hadoop, Kafka, Cloud providers).

Strong background in developing modern cloud-native data platforms for performance and scalability for large data sets / streams.

Experience implementing data integration, data warehouse/lake solutions and data mesh architectures.

Expert knowledge of SQL (preferably in Snowflake) and relational and non-relational technologies/concepts (SQL and NoSQL).

Working knowledge of programming languages (Python, Shell scripting, Scala/Java a plus).

Strong background and experience with cloud technologies and services, preferably AWS.

Technical knowledge of software application development and agile methodologies.

Understanding and application of data / digital strategy and governance.

Understanding of change management and release processes.

Pursue Progress.

Discover Extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn\xe2\x80\x99t happen without people \xe2\x80\x93 people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let\xe2\x80\x99s be those people.

Watch our and check out our Diversity, Equity and Inclusion actions at !

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.

Thank you in advance for your interest.

Only those candidates selected for interviews will be contacted.

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At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

Sanofi