Make AI-ready data a platform default (trusted, documented, lineage-tracked datasets for training, backtesting, retrieval, and inference) and enable governed self-service via a data catalog, semantic layer, and discoverable data products, replacing shadow pipelines and one-off extracts. Experience building enterprise-scale, cloud-native data platforms (Azure, AWS, or GCP) with full ownership of technology decisions, and deep expertise in modern architecture (lakehouse and medallion design, streaming and batch, data products, APIs) and platforms such as Snowflake, Databricks, and Collibra.