• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems) • Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows • Design and evolve core GTM data models across Salesforce, ETL, and analytics layers • Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers • Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates • Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity • Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms • Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations • Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead • Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives