AI- Ready Data Engineering Team Lead
About the Role
Lead the technical transformation of data into AI-ready assets that power breakthrough discoveries and save lives. You will drive Sanofi''s AI-Ready Data framework implementation, leading a specialized engineering team within our Platform Engineering organization. This is your opportunity to architect the data foundation that enables AI-driven drug discovery, clinical innovation, and manufacturing excellence at global scale.
What You''ll Do
Must Have:
Lead the technical transformation of data into AI-ready assets that power breakthrough discoveries and save lives. You will drive Sanofi''s AI-Ready Data framework implementation, leading a specialized engineering team within our Platform Engineering organization. This is your opportunity to architect the data foundation that enables AI-driven drug discovery, clinical innovation, and manufacturing excellence at global scale.
What You''ll Do
- Drive technical implementation of Sanofi''s AI-Ready Data framework, ensuring data is well-understood, trusted, secure, accessible, and ready for AI consumption at enterprise scale
- Lead and mentor a team of Data Quality, Data Governance, and Data Management engineers within the AI Ready Data team
- Architect automated data preparation systems using cutting-edge AI agents (DataOrion suite) that enable enterprise-wide AI adoption
- Design end-to-end data pipelines supporting both structured and unstructured data for GenAI and next-generation AI applications
- Collaborate with global cross-functional teams to accelerate AI innovation, ensuring seamless integration with AI Foundry and data marketplace platforms
- Champion technical innovation in data ai engineering, driving measurable outcomes for AI-ready data products
- Establish real-time data observability and monitoring frameworks ensuring data health across the complete AI lifecycle
Must Have:
- Bachelor''s degree in Computer Science, Data Engineering, or related technical field (Master''s preferred)
- 10+ years of experience in data engineering, AI/ML engineering, or related technical roles in pharmaceutical/life sciences with 5+ years in technical leadership
- Deep expertise in cloud data platforms (Snowflake, AWS, Azure, GCP) and modern data engineering tools
- Strong experience with data governance platforms (Informatica CDGC CDQ, Collibra) and metadata management
- Proven track record implementing large-scale data transformations in regulated environments
- Experience with AI/ML data preparation, feature engineering, and production AI system support
- Exceptional leadership skills with experience managing global technical teams, vendors and driving organizational change
- Strong communication abilities, translating complex technical concepts for business stakeholders
- Experience with GenAI, Large Language Models, and agentic AI systems
- Knowledge of pharmaceutical RD, clinical trials, or manufacturing data domains
- Familiarity with unstructured data processing, NLP, and document AI technologies
- Understanding of responsible AI principles and AI governance frameworks
- Experience with real-time streaming, event-driven architectures, and modern data patterns
- Relevant cloud platform certifications (AWS, Azure, GCP, Snowflake, Informatica)
