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The Program Manager will develop and administer the AI Governance Program, establishing policies, controls, and oversight mechanisms to manage AI risk. They will coordinate across business and technology teams to ensure AI use cases comply with regulatory, legal, and company standards.
• 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.
This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.
** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. **
First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).
First American intends to conduct a review of an applicant’s criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.
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