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Program Manager - AI Governance (Remote)

  • Source: LinkedIn
  • ExecutivePlacements.com
  • Remote
  • Santa Ana
  • Full-Time
  • Senior

Job Description

AI Governance Program Manager

The AI Governance Program Manager is responsible for developing, implementing, and administering the AI Governance Program for First American’s Lender division. The role establishes the governance structure, policies, standards, processes, controls, documentation, and oversight mechanisms necessary to manage artificial intelligence risk across the division. The position operationalizes MISMO FRAME as the division’s AI governance framework and coordinates its application across internally developed, purchased, embedded, and third-party AI capabilities. The successful candidate will possess sufficient technical knowledge of AI and machine-learning technologies to understand and challenge AI use cases and translate technical characteristics into governance and control requirements; however, the position is primarily a governance and risk-management leadership role and is not responsible for developing AI solutions.

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 o…

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