Ginnie Mae President Joe Gormley has urged mortgage issuers to prioritize fixing loan-level data quality, emphasizing that "bad data is an expense." Speaking at the MISMO Fall Summit, Gormley outlined Ginnie Mae's strategic direction toward a more digital, automated, and data-centric operating model.
The agency, which guarantees timely payments on mortgage-backed securities composed of federally insured loans, aims to streamline processes by establishing a single source of truth for data. This modernization effort is expected to reduce friction for issuers, make mortgage servicing rights more easily transferable, and open new avenues for private capital participation in the Ginnie Mae ecosystem.
Gormley highlighted that improved data quality would allow for earlier problem identification through automation and surveillance, moving beyond manual reconciliation and costly cleanup efforts. He noted that AI is being deployed as an efficiency tool within strict federal and HUD frameworks, ensuring sensitive data is not used to train public models.
Key initiatives include the Collateral Verification Transformation (CVT) project, designed to enhance loan-level tracking of ownership and payment history, with the design phase expected to conclude within six months. Ginnie Mae is also considering separate designations for market participants like subservicers and investing entities.
The agency is seeing significant adoption of eNotes, with volumes expected to triple this year compared to 2025 projections. Gormley stressed that the pace of change is accelerating, and Ginnie Mae is focused on preparing for further digitization and standardization in servicing files, transfers, and collateral tracking.