Build and maintain scalable data and AI platforms, including data models, schemas, vector stores, knowledge bases, ETL/ELT pipelines, feature pipelines, embedding pipelines, and evaluation datasets. Integrate data systems with machine learning and LLM applications, support analytics and RAG systems, and implement security, privacy, and governance controls. Collaborate across leadership, engineering, finance, and data science teams to deliver reliable AI-ready data foundations.