Program Manager

Skill: Program Manager with mortgage domain skills

Must Have Technical/Functional Skills:

Program Management:

Mortgage Domain Expertise:

• Comprehensive knowledge of the US Residential Mortgage lifecycle: Origination, Processing, Underwriting, and Closing.
• Deep understanding of Fannie Mae/Freddie Mac guidelines, FHA/VA requirements, and private investor overlays.
• Familiarity with mortgage document types (Income, Asset, Tax, Collateral) and their validation logic.

Technology & AI Literacy:

• Strong conceptual understanding of Generative AI, Large Language Models (LLMs), and Intelligent Document Processing (IDP).
• Experience with Agile delivery frameworks (Scrum/Kanban) and tools like Jira/Confluence.
• Ability to discuss technical data contracts and system architecture with engineers while translating impact to business users.

Roles & Responsibilities:

Gen-AI Program Oversight & Delivery:

• Lead the implementation roadmap for Gen-AI based Mortgage IDP (extracting data from 1003s, paystubs, W2s, etc.) and Gen-AI assisted underwriting.
• Define program scope, milestones, and success metrics (KPIs) focused on reducing Turnaround Time (TAT) and improving "Right First Time" ratios.
• Manage cross-functional workstreams, ensuring technical development aligns with the specific nuances of mortgage credit policy and secondary market requirements.

Underwriting & IDP Strategy:

• Supervise the integration of Gen-AI modules into existing Loan Origination Systems (LOS) and Loan Management Systems (LMS).
• Manage dependencies between data ingestion, AI model processing, and downstream automated decision engines.
• Oversee API-led integrations with third-party providers (Bureaus, VOE/VOI, Appraisal vendors).

Compliance, Ethics & Governance:

• Define end-to-end flows: application intake KYC/AML bureau pulls documentation underwriting approval disbursement.
• Specify API/integration requirements with bureaus, KYC providers, appraisal systems, e-sign, and payment gateways.

Compliance & Controls:

• Ensure all Gen-AI solutions adhere to Fair Lending acts (ECOA, HMDA) and internal risk & control frameworks.
• Partner with Legal and Compliance to manage AI-specific risks, including model bias, data privacy (PII), and "Explainable AI requirements for adverse action notices.

Stakeholder Management:

• Act as the primary point of contact for executive leadership, providing transparent reporting on budget, risks, and ROI.
• Facilitate high-level workshops to align Underwriting, Risk, Operations, and Tech teams on the AI product vision.

Quality & Performance Validation:

• Oversee User Acceptance Testing (UAT) specifically for AI model accuracy and "confidence score" thresholds.

Validate that Gen-AI outputs consistently meet the rigorous accuracy standards required for mortgage auditing and securitization