IT Director, Data & AI Architecture

What you'll do

• Define and deliver the enterprise data and AI architecture vision and roadmap.
• Architect scalable, secure, and AI-ready data platforms using Snowflake, Databricks, and Azure.
• Establish technical standards for data ingestion, transformation, orchestration, and DataOps.
• Design enterprise-scale lakehouse architectures utilizing Delta Lake, Apache Iceberg, and cloud-native storage.
• Architect AI-ready ecosystems supporting Generative AI, RAG, vector databases, and LLMOps.
• Define enterprise standards for data products, metadata management, and federated data ownership.
• Lead architecture reviews and provide final technical recommendations for critical data and AI investments.
• Partner with engineering teams to solve complex technical challenges and ensure cost optimization.

What we're looking for

• Master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
• 10+ years of experience in enterprise data architecture, cloud data platform architecture, or large-scale analytics architecture.
• 5+ years of experience designing and implementing modern cloud-native data platforms and enterprise-scale technology architectures.
• Minimum 10 years of overall professional experience in technology with a strong background in enterprise architecture and solution design.
• Minimum 3 years of experience at the Director level or in a comparable senior individual contributor leadership role.
• Deep hands-on expertise with Snowflake, Databricks, Microsoft Fabric, Azure Data Services, or equivalent modern data platforms.
• Proven experience architecting AI-ready data ecosystems supporting machine learning, Generative AI, vector retrieval, semantic search, and RAG architectures.
• Experience within healthcare, medical devices, life sciences, pharmaceuticals, or regulated manufacturing environments (preferred).