Data and AI Engineering Lead

R2829592 Data and AI Engineering Lead

About the Job 

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams. 

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 AI Workflow Engineering team as a Data Engineering Lead and you can help make it happen.  

The products you will work on

You will play a key leadership role across our AI Workflow data products, specifically supporting the Source to Pay reimagination for buying and the streamlining of Sanofi knowledge and resolution for service management. 

These products aim to: 
• Automate and optimize AI-driven workflows across Sanofi, including procurement and support.  
• Enable seamless deployment of GenAI and agentic systems through robust, scalable data pipelines and system integrations architectures. 

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, implementation, and delivery of data pipelines, datamarts and AI workflows, ensuring scalability, resilience, and compliance with Sanofi’s standards.

• Work closely with business and product stakeholders within the AI Workflow domain to understand requirements and translate them into technical architectures and deliverables.

• Collaborate with Data Architects and Software Engineers to design, build, and maintain DataMart's, models, and integrations in Snowflake, leveraging DBT, Airflow, and Python for automation and orchestration.

• Define, enforce, and continuously improve DataOps and MLOps practices, including CI/CD with GitHub Actions and infrastructure management using Terraform on AWS.

• Provide technical leadership, mentorship, and guidance to a small team of engineers, fostering a culture of accountability and technical excellence. 

• Ensure high data quality and observability through automated testing, validation, and monitoring processes 

• Collaborate with AI Workflow teams to integrate GenAI, RAGs, and Agentic AI components into production workflows.

• Stay current with Sanofi standards, industry practices, and emerging technologies, ensuring the AI Workflow ecosystem remains at the forefront of innovation 

About You  

You are a dynamic and hands-on Data Engineering lead who combines technical depth with leadership maturity, you enjoy leading small, high-performing teams while staying close to code and architecture decisions. You’re passionate about designing systems that make AI workflows reliable, scalable, and impactful for Sanofi’s enterprise mission. 

Key Technical Requirements & Qualifications

• Strong experience leading end-to-end data engineering projects from design to production deployment 

• Proven experience with Snowflake, Airflow, DBT, Python, AWS, Terraform, and GitHub Actions 

• Good knowledge of SQL and relational databases technologies/concepts 

• Proven ability to define and enforce data and MLOps standards (CI/CD, observability, lineage, reproducibility) 

• Experience in building and maintaining data pipelines, datamarts, and data models at enterprise scale 

• Practical understanding of GenAI, Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI integration 

• Strong collaboration with cross-functional teams — Product, Data Architecture, and AI Engineering 

• Ability to work within regulated environments (data privacy, compliance, cybersecurity) is a plus 

Soft and behavioral skills

• Excellent written and verbal English communication skills 

• Strong leadership and mentorship skills, with the ability to inspire and elevate junior engineers 

• Excellent communication, both written and verbal, able to translate technical concepts for diverse stakeholders 

• Service-oriented mindset and collaborative spirit 

• Self-motivated, proactive, and able to drive initiatives independently 

• Analytical and structured problem-solver with a delivery focus 

Your background

• 5 years of experiences in a data team.

• Bachelor’s degree in computer science, Engineering, or relevant field  

• Experience in the healthcare industry is a strong plus 

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 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.

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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.