You''ll build and own the analytics data layer - curated models, marts, and metrics, including rewriting and migrating existing SQL Server models into Snowflake - on top of the base tables maintained by the IT Data Engineering team, and you''ll make sure those data products are accurate, reliable, well documented, and prioritized around what the business actually needs. Take ownership of critical recurring data products - the scheduled jobs, stored procedures, and models behind high-stakes processes (e.g., incentive-compensation calculations) - treating them as products with clear owners, SLAs, monitoring, alerting, and runbooks, built to run reliably rather than patched.