Lead large-scale, technically complex Data & AI programs spanning modern data platforms, data engineering and ingestion, analytics, governance, master/reference data, integration and APIs, cloud infrastructure, AI/ML, generative AI, agents, and enterprise automation. Understand and challenge architecture, sequencing, non-functional requirements, technical debt, security, reliability, scalability, data quality, and production-readiness assumptions; identify systemic risks before they become delivery failures.