Associate Vice President, Model & AI Governance

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• The Associate Vice President, Model & AI Governance, is the enterprise leader responsible for establishing and overseeing the organization’s framework for model governance, artificial intelligence (AI) risk management, responsible AI and AI governance.
• Reporting to the Chief Audit & Risk Officer, this executive provides independent second-line oversight and challenge of the organization’s use of models, advanced analytics, machine learning, generative AI, and emerging AI technologies. The role establishes the governance, risk-management, control, monitoring and escalation framework necessary to ensure AI models are deployed in a manner that is safe, ethical, transparent, explainable, compliant, secure and aligned with the organization’s mission and risk appetite.
• The Associate Vice President, Model & AI Governance, partners closely with executive leadership, technology, data and analytics, clinical/business leaders, compliance, legal, privacy, cybersecurity, information security, internal audit, enterprise risk management and other control functions to ensure AI-related risks are identified, assessed, governed, monitored, and appropriately reported.
• This leader will serve as an advisor to executive management on emerging model and AI risks, while maintaining appropriate independence from the teams developing and deploying models and AI solutions.

Key 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.

Use your skills to make an impact

• •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.

*Preference of this position to be located in Washington DC, New York or Louisville, KY.

25% Travel

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$189,400 - $260,500 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and pe