Executive Lead, Model Risk & AI Governance

Humana; Richmond (VA); Remote; USD 189,000 - 261,000; Full time

Benefits offered by this job

Bonus incentive plan

Remote work as needed

Job summary

Humana, Inc. is seeking an Associate Vice President of Model & AI Governance to lead the enterprise framework for AI risk, governance, and responsible AI.

Reporting to the Chief Audit & Risk Officer, you will shape the governance, risk management, controls, and monitoring for AI models, ensuring safety, ethics, transparency, and regulatory compliance across the organization. The role collaborates with technology, data, clinical leaders, compliance and privacy teams to identify AI risks, escalate

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 related fields.
• Experience leading enterprise-wide model and AI governance programs.
• Experience operating at an executive level within a regulated healthcare organization.

Responsibilities

• Own and enhance the enterprise model governance framework.
• Define model risk appetite and escalation thresholds.
• Provide challenge over model development and performance.
• Oversee model inventory and risk classification.
• Establish standards for model validation and explainability.
• Develop responsible AI framework and governance.
• Lead risk governance committees and report to leadership.

Skills

Executive leadership

AI governance knowledge

Risk management

Stakeholder engagement

Education

Bachelor’s degree

Job description

Humana, Inc. is seeking an Associate Vice President of Model & AI Governance to lead the enterprise framework for AI risk, governance, and responsible AI.

Reporting to the Chief Audit & Risk Officer, you will shape the governance, risk management, controls, and monitoring for AI models, ensuring safety, ethics, transparency, and regulatory compliance across the organization. The role collaborates with technology, data, clinical leaders, compliance and privacy teams to identify AI risks, escalate