Remote AI Governance & Model Risk Executive

Humana, Inc.; Lincoln (NE); Remote; USD 189,000 - 261,000; Full time

Benefits offered by this job

Bonus eligible

Remote-friendly policy

Job summary

Humana, Inc. seeks an Associate Vice President, Model & AI Governance, to lead enterprise AI risk, governance, and responsible AI across the organization.

This executive oversees model risk management, AI risk governance, and cross-functional alignment with privacy, compliance and security teams. The role partners with senior leaders to establish frameworks, monitor AI performance, and report risk trends to executive management, board committees, and risk committees.

Qualifications

• Bachelor’s degree required in a relevant field.
• 15+ years of progressive experience in risk management, model risk, AI governance, technology risk, data governance, analytics or compliance.

Responsibilities

• Own and continually enhance the enterprise model governance framework, including inventory, risk tiering and documentation.
• Define model risk appetite, taxonomy, control standards and escalation thresholds.
• Provide challenge over model development, validation, implementation and monitoring.
• Oversee the enterprise model inventory and ensure ownership, accountability and risk classification.
• Establish standards for model validation, data quality, bias, explainability and ongoing monitoring.
• Develop and oversee the Responsible AI framework and governance principles.
• Lead governance committees and report risk exposure and trends to leadership and board committees.

Skills

Executive communication

Strategic leadership

AI governance

Risk management

Education

Bachelor’s degree

Job description

Humana, Inc. seeks an Associate Vice President, Model & AI Governance, to lead enterprise AI risk, governance, and responsible AI across the organization.

This executive oversees model risk management, AI risk governance, and cross-functional alignment with privacy, compliance and security teams. The role partners with senior leaders to establish frameworks, monitor AI performance, and report risk trends to executive management, board committees, and risk committees.