Support the coordination and execution of cross-functional initiatives by assisting in planning, tracking, and delivery of defined program components.
Act as the program lead for AI underwriting initiatives, ensuring clear goals, timelines, and deliverables across stakeholders.
Serve as the underwriting subject matter expert (SME) for AI training, ensuring that the model reflects FNMA, FHLMC, FHA, VA, USDA, and Lower-specific guidelines.
Collaborate with AI engineers and product managers to train, test, and validate the AI model’s performance.
Translate complex underwriting standards and risk frameworks into structured training data, rules, and decision logic for AI learning.
Review AI-generated responses for accuracy, compliance, and consistency with company policy; provide structured feedback and corrections.
Identify and prioritize edge cases, nuances, and exceptions in underwriting that must be embedded into the AI model.
Stay current on agency/investor updates, regulatory changes, and industry best practices, ensuring the AI reflects the latest standards.
Document program progress, training materials, and outcomes to build a sustainable knowledge base supporting continuous AI learning and improvement.
Requirements
Minimum 3+ years of residential mortgage underwriting experience, with deep familiarity across FNMA, FHLMC, FHA, VA, and USDA guidelines.
2+ years of program or project coordination/management or equivalent experience, ideally in a tech-enabled or regulated industry such as fintech or proptech.
Strong analytical and decision-making skills; ability to identify subtle differences in guidelines and investor requirements.
Effective written and verbal communication skills, with the ability to coordinate across teams and adapt messaging for different audiences.
Proficiency in using loan origination systems and standard productivity tools (Microsoft Office, project management software, etc.).
Growing ability to build relationships and collaborate across functions, with some experience in resolving misalignments through partnership and facilitation.
Curiosity and adaptability in working with emerging AI technologies — no prior AI experience required, but openness to learning is essential.