AVP, AI Governance & Risk Leadership (Remote)

Humana; Salt Lake City (UT); Remote; USD 189,000 - 261,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) retirement savings plan

Paid time off

Disability insurance

Life insurance

Job summary

Humana seeks an Associate Vice President, Model & AI Governance, to establish and oversee our enterprise framework for model governance, AI risk management, and responsible AI. This executive will drive governance, monitoring, escalation, and independence from development teams while partnering with leadership across technology, compliance, privacy, clinical lines, and legal.

The role requires deep experience in risk management and AI governance within regulated environments, plus strong

Qualifications

• Bachelor’s degree required.
• 15+ years of progressive experience in risk management, model risk management, AI governance, technology risk, data governance, analytics, compliance, internal audit or other disciplines.
• Significant experience leading enterprise-wide model governance, AI governance, responsible AI, or technology risk programs.
• Demonstrated experience operating at an executive level within a complex, highly regulated organization.
• Healthcare experience strongly preferred.
• Strong understanding of AI/ML technologies, generative AI, model development and validation, data governance, and technology risk.
• Knowledge of emerging AI regulatory and governance frameworks and applicable healthcare regulatory requirements.
• Strong understanding of enterprise risk management, internal controls, issue management, and risk appetite frameworks.
• Demonstrated experience presenting complex risk, technology, analytics, and AI governance topics to executive leadership and Board-level audiences.

Responsibilities

• Own and continuously enhance the enterprise model governance framework, including model identification, inventory, classification, risk tiering, development, validation, approval, implementation, monitoring, change management, retirement and documentation.
• Define model risk appetite, risk taxonomy, minimum control standards, governance requirements and escalation thresholds.
• Provide effective challenge over model development, validation, implementation, monitoring and performance.
• Oversee the enterprise model inventory and ensure appropriate ownership, accountability, documentation, and risk classification.
• Establish standards for model validation, including conceptual soundness, performance, stability, data quality, bias, explainability and ongoing monitoring.
• Ensure appropriate governance over third-party and externally developed models.
• Develop and oversee the organization’s Responsible AI framework and principles.
• Establish governance standards addressing fairness, bias, transparency, explainability, accountability, privacy, human oversight, safety, security, and appropriate use of AI.
• Establish processes for AI use-case risk intake, risk assessment, approval, monitoring, and ongoing oversight, working closely with other AI governance functions to simplify and streamline processes.
• Develop standards for responsible use of generative AI, large language models, AI agents, automated decision-making and other emerging technologies, partnering with other stakeholders to ensure cross functional alignment
• Establish governance mechanisms to identify and address unintended consequences, model drift, hallucination, discrimination, explainability limitations, and other AI-specific risks.
• Own the enterprise AI risk management framework and associated governance processes.
• Establish governance requirements and oversight for the enterprise AI inventory, ensuring AI applications and use cases are appropriately inventoried, classified, risk-rated, assigned accountable ownership, and monitored throughout their lifecycle.
• Develop AI risk assessments and approval requirements proportionate to the potential impact of technology.
• Establish ongoing monitoring of AI performance, effectiveness, risk indicators, incidents, exceptions and emerging threats.
• Partner with cybersecurity, Privacy, Legal, Compliance, Data Governance, and Technology Risk to address AI-specific risks.
• Establish governance for the use of external AI providers, foundation models, APIs, AI platforms, and third-party AI solutions.
• Establish policies, standards, procedures, control requirements, and governance committees necessary to manage model and AI risk.
• Define clear first-line ownership and second-line oversight responsibilities.
• Develop, maintain, and monitor enterprise model and AI risk appetite metrics, tolerance thresholds, and key risk indicators to support enterprise risk reporting and decision-making.
• Lead Model Risk and AI Risk Governance committees and provide regular reporting to executive management, Risk Committees, and Board Committees regarding model and AI risk exposure, emerging risks, policy compliance, significant incidents, exceptions, and risk trends.
• Lead a hybrid team of internal associates and specialized external partners responsible for model validation, governance administration, AI risk assessments, monitoring, and assurance activities.
• Promote a culture of responsible AI and sound model governance through training, awareness, stakeholder engagement, and enterprise-wide governance education programs.

Skills

Executive leadership

AI governance

Risk management

Model risk management

Healthcare industry knowledge

Executive communication

Regulatory knowledge

Education

Bachelor’s degree

Job description

Humana seeks an Associate Vice President, Model & AI Governance, to establish and oversee our enterprise framework for model governance, AI risk management, and responsible AI. This executive will drive governance, monitoring, escalation, and independence from development teams while partnering with leadership across technology, compliance, privacy, clinical lines, and legal.

The role requires deep experience in risk management and AI governance within regulated environments, plus strong