• Lead the development, implementation, and ongoing administration of the divisional AI Governance Program, utilizing MISMO FRAME as the primary governance framework and incorporating applicable regulatory, legal, compliance, risk-management, customer, and company requirements.

• Own and maintain the AI governance operating model, including roles and responsibilities, decision rights, governance forums, approval authorities, escalation paths, exception processes, and required evidence.

• Establish and administer the AI use-case lifecycle, including intake, inventory, risk classification, assessment, review, approval, implementation, monitoring, material-change review, periodic reassessment, and retirement.

• Maintain an inventory of AI systems and use cases, including internally developed solutions, third-party solutions, and AI functionality embedded within vendor products or existing technology platforms.

• Develop and maintain a risk-tiering methodology that evaluates AI use cases based on factors such as consumer impact, regulatory and compliance exposure, decision influence, operational impact, data sensitivity, autonomy, explainability, and third-party dependency.

• Coordinate required review and independent challenge by subject-matter functions, including Legal, Compliance, Fair Lending, Privacy, Information Security, Data Governance, Enterprise Risk, Model Risk, Vendor Management, and other applicable control functions.

• Establish AI-specific control requirements and work with control owners to ensure controls are appropriately designed, documented, implemented, evidenced, and monitored in accordance with the risk presented by each use case.

• Lead governance for mortgage related third-party AI, partnering with Vendor Management, Legal, Security, Compliance, and business owners to establish due-diligence requirements, contractual expectations, change-notification requirements, ongoing oversight, and evidence standards.

• Develop, analyze, and report AI governance Key Performance Indicators and Key Risk Indicators, providing governance reporting for senior management and applicable governance committees.

• Monitor changes in regulatory expectations, industry practices, mortgage-industry standards, and internal risk requirements affecting AI governance and recommend corresponding changes to policies, standards, procedures, and controls.

• Maintain audit, examination, and customer readiness by ensuring governance decisions, approvals, risk assessments, monitoring results, testing evidence, exceptions, and remediation activities are traceable and appropriately documented.

• Provide subject matter expertise regarding AI governance policies, standards, controls, documentation, and risk-management requirements to business and technology stakeholders.

• Partner effectively with business and technology teams while providing independent challenge and escalating AI use cases that do not meet established governance requirements.

Required Education, Experience, Certification/Licensure

• Bachelor’s degree in business, risk management, information systems, technology, data science, finance, law, or a related discipline, or equivalent relevant experience.

• 8-10 years of program management experience with enterprise governance, technology risk, operational risk, compliance, model risk, IT governance, audit, data governance, responsible AI, or a related control function, including demonstrated experience designing or administering governance programs.

• Demonstrated experience establishing governance structures, policies, risk-assessment methodologies, control frameworks, issue-management processes, and executive reporting in a regulated environment.

• Experience in residential mortgage lending, mortgage servicing/subservicing, financial services, or another highly regulated consumer-finance environment strongly preferred.

• Demonstrated understanding of artificial intelligence and machine-learning technologies sufficient to assess governance implications and challenge business and technical stakeholders; hands-on AI model development experience is not required.

• Experience applying AI, model-risk, technology-risk, data-governance, privacy, or other relevant risk-management frameworks preferred.

KNOWLEDGE, SKILLS, AND ABILITIES (KSAs)

• Excellent written and verbal communication skills, including the ability to translate complex technical and risk concepts into clear governance requirements and executive-level reporting.

• Strong program-structure and operating-model capabilities, with demonstrated ability to convert policies and frameworks into repeatable, auditable processes and controls.

• Ability to establish support and consensus with senior leaders and stakeholders across business, technology, legal, compliance, risk, security, privacy, data, vendor management, and audit functions.

• Working knowledge of generative AI, AI agents, training and inference concepts, model inputs and outputs, grounding, hallucination, explainability, human oversight, data lineage, model drift and monitoring.

• Ability to provide effective independent challenge, make risk-based recommendations, and escalate matters when governance requirements are not satisfied.

• Strong organizational and documentation skills with high attention to detail and ability to maintain defensible governance records and artifacts.

• Self-motivated, proactive, and comfortable operating in a developing area where governance processes and regulatory expectations continue to evolve.

• Excellent interpersonal, relationship-building, facilitation, and presentation skills.

** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. **