Lead development and execution of enterprise data controls and governance. Assess controls, close gaps, implement data quality checks and monitoring, define standards and documentation, support platform migrations and AI initiatives, partner with cross-functional teams, and manage/coaching a team of data analysts to ensure regulatory-compliant, high-quality data.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Design, build, and maintain end-to-end data pipelines in Snowflake using Medallion Architecture. Develop ETL/ingestion with Python and/or Informatica, implement Snowflake AI/ML features, manage version-controlled code (Git/Bitbucket), support CI/CD, monitor and optimize pipelines, and ensure data quality and performance across environments.