Vice President, Model & AI Governance

Humana; San Juan (PR); 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 and holidays

Short-term and long-term disability

Life insurance

Job summary

Humana, Inc. is seeking an Associate Vice President of Model & AI Governance to helm the enterprise model governance framework, AI risk management, and responsible AI program.

You will partner with executive leadership and control functions to ensure safe, ethical, and compliant AI deployment across the organization. The role requires leading cross-functional governance, risk assessment, and reporting to risk committees and the Board, with a focus on transparency, bias mitigation, and regulatory

Qualifications

• Bachelor’s degree required.
• 15+ years of progressive experience in risk management and AI governance.
• Experience leading enterprise-wide model and AI governance programs.
• Executive-level experience in a regulated healthcare organization.
• Strong understanding of AI/ML technologies and data governance.

Responsibilities

• Own and enhance the enterprise model governance framework.
• Define model risk appetite and escalation thresholds.
• Oversee enterprise model inventory and classifications.
• Develop Responsible AI framework and governance standards.
• Lead committees and report risk exposure to leadership and boards.

Skills

Bachelor's degree

Executive leadership

AI governance

Model risk mgmt

Regulatory knowledge

Stakeholder mgmt

Job description

Humana, Inc. is seeking an Associate Vice President of Model & AI Governance to helm the enterprise model governance framework, AI risk management, and responsible AI program.

You will partner with executive leadership and control functions to ensure safe, ethical, and compliant AI deployment across the organization. The role requires leading cross-functional governance, risk assessment, and reporting to risk committees and the Board, with a focus on transparency, bias mitigation, and regulatory