Define and govern enterprise Data & AI architecture across legacy, cloud, and AInative platforms Architect hybrid data integration across mainframe, DB2, Snowflake, Postgres, Talend, and event streaming Design and deliver LLM and agentic AI solutions using Snowflake Cortex, Azure AI Foundry, Azure OpenAI Service, Copilot Studio, and orchestration frameworks Establish RAG, vector database, and embedding strategies for enterprise research and analytics Coordinate the continual modernization of ETL and Lakehouse architecture Enable Snowflake governance: RBAC, dynamic masking, row level security, encryption Ensure compliance with OSFI, SOX, NAIC, PIPEDA/GDPR, SEC/state insurance regulations Partner with business, risk, compliance, legal, IT, Information Security and vendors as the lead technical advisor