Data & AI Engineering Specialist

Job description

About the Role The Data & AI Engineering Specialist is a hands-on technical role within Sanofi's Platform Engineering organization, responsible for designing, building, and maintaining AI-ready data pipelines and infrastructure that power breakthrough discoveries and improve patient outcomes. This specialist contributes to the implementation of Sanofi's AI-Ready Data framework, ensuring data is well-understood, trusted, secure, and accessible for enterprise-wide AI consumption. The role operates at the intersection of data engineering, data governance, and AI enablement in a global, regulated biopharma environment. What You’ll Do • Execute technical implementation of Sanofi's AI-Ready Data framework, ensuring data assets meet quality, trust, security, and accessibility standards for AI consumption • Design and build end-to-end data pipelines supporting both structured and unstructured data for GenAI and next-generation AI applications • Develop and maintain automated data preparation workflows using AI agent tooling, to enable enterprise-wide AI adoption • Implement and maintain data governance processes, including metadata management and data cataloguing • Maintain and curate metadata assets including data lineage, dictionaries, and catalogs; validate AI-generated metadata suggestions and manage metadata-as-code artifacts • Implement compliance-as-code policies and automated access governance to ensure data security and compliance with GDPR, HIPAA, and other regulatory requirements; audit AI agent data access patterns • Maintain documentation-as-code for data processes, models, and flows; validate auto-generated documentation to ensure audit-ready records in regulated environments • Support stewardship workflows within governance platforms and collaborate with business stakeholders on data ownership • Leverage automated observability tools and AI agents to monitor data catalog health; triage alerts and drive remediation across business units • Collaborate with cross-functional teams globally to integrate data solutions with AI and data marketplace platforms • Apply data quality engineering practices to identify, remediate, and prevent data quality issues in production environments • Contribute to technical documentation, standards, and best practices for data engineering within the team • Participate in code reviews, technical design discussions, and continuous improvement initiatives Must Have: • Bachelor's degree in Computer Science, Data Engineering, or a related technical field (Master's preferred) • 5+ years of hands-on experience in data engineering, AI/ML data engineering, or a closely related technical role • Experience working in pharmaceutical, life sciences, or other regulated industry environments preferred • Demonstrated experience delivering data solutions at scale • Familiarity with data protection regulations (GDPR, HIPAA) and compliance best practices • Proficiency in data modeling, metadata management, data cataloging and data lineage practises; experience with schema-as-code and automated catalog management • Proficiency in cloud data platforms, including one or more of the following: Snowflake, AWS, Microsoft Azure, Google Cloud Platform (GCP) • Strong experience with data pipeline development using modern data engineering tools and frameworks (e.g., Apache Spark, dbt, Airflow, or equivalent) • Proven experience in data management, with a focus on Informatica CDGC or similar data governance and compliance tools • Proficiency in Python and/or SQL for data engineering and transformation tasks • Hands-on experience in API/programmatic governance workflows • Familiarity with data observability and monitoring tools and practices • Understanding of data security, access control, and compliance requirements in regulated environments • Strong analytical and problem-solving skills with attention to detail • Effective communication skills, with the ability to explain technical concepts to non-technical stakeholders • Ability to work collaboratively in global, cross-functional, and multicultural teams • Continuous learning mindset with a passion for emerging data and AI technologies Nice to Have • Knowledge of pharmaceutical R&D, clinical trials, or manufacturing data domains • Experience with Generative AI, Large Language Models (LLMs), and agentic AI systems • Experience with AI/ML data preparation, feature engineering, and supporting production AI systems • Familiarity with unstructured data processing, Natural Language Processing (NLP), and document AI technologies • Understanding of responsible AI principles and AI governance frameworks • Experience with real-time streaming and event-driven architectures (e.g., Apache Kafka, AWS Kinesis) • Certification in Informatica CDGC, Collibra, or similar data governance platforms • Relevant cloud or platform certifications (AWS, Azure, GCP, Snowflake, or equivalent) • Exposure to enterprise AI data enablement platforms    Why Join Us • Meaningful Impact: Your work directly accelerates life-saving drug discovery and improves patient outcomes worldwide • Cutting-Edge Technology: Lead implementation of industry-leading AI and data platforms including DataOrion, Snowflake, and advanced GenAI systems • Innovation Leadership: Shape the future of AI-driven biopharma as part of Sanofi's transformation into an AI-first organization • Career Growth: Exceptional opportunities for professional development, working with renowned leaders and academics in machine learning and data engineering --- Physic