Description:
Your Role The Model Risk Advisor will be responsible for promoting effective governance practices, assist in the maintenance and adoption of the AI policies and standards framework, streamlining and optimizing governance processes, and identifying actionable insights to close compliance gaps. This role will play a key role in fostering collaboration, driving compliance, and continuously improving AI governance within the organization!
Your work
- Actively engage with the enterprise AI community to promote understanding and adoption of AI policies and standards framework, fostering a culture of responsible and ethical AI use.
- Identify, establish, and maintain an inventory of all models (statistical, machine learning, AI, GenAI) used within the organization.
- Establish clear ownership and assess risk ratings to models based on their complexity, regulatory compliance, impact, and usage.
- Partners with internal groups and/or vendors to maintain complete and accurate AI Model metadata.
- Continuously monitor model performance and ensure compliance with established policies.
- Oversee the validation/testing process, including defining the scope, assessing validation results, and communicating with partners.
- Participate in AI Model Governance oversight processes, measurement and implements consistency to policies and standards and through audits, peer reviews, and monitoring of KRIs.
- Design reporting and metrics frameworks for project management and executive-level reports to provide a strategic view of AI governance to key stakeholders.
- Identify opportunities for process improvement, automation, and optimization to improve the efficiency and effectiveness of AI governance operations.
- Keep abreast with regulatory and Department of Insurance expectations and evolving regulations on AI Model risks.
- Develop and implement frameworks, processes, and controls for Model Risk Management.
- Engage in the development of policies, standards and procedures and coordinate with partners through the approval process.
- Enable and promote awareness on AI Model governance policies and standards to the Model owners and Model developer community.
- Implement and monitor alignment to enterprise AI Model governance policies and standards.
- Development of controls to mitigate AI/Model risks, implementing, monitoring, and reporting.
- Identifies and handles existing and emerging AI Model risks that stem from business activities.
- Support internal audits and co-ordinate with Enterprise Risk Office in mitigating AI Model risks.
- Ensures risks associated with business activities are effectively identified, measured, monitored, reported, and controlled.
- Assists in conducting current assessment of AI Model Governance process and tools and proposing recommendations for improvements to peers, community, and the next level of leadership.
- Anticipates, analyzes, and effectively resolves problems and issues; makes recommendations and identifies when and how to escalate problems to the appropriate level.
- Operates independently and with peers to execute AI Model Governance and Model Risk management practices and processes.
- Highlights recommendations around compliance to AI Model Governance solutions through design/governance reviews against internal policies, standards.
Required Experience, Education And Skills
- Experience in deploying AI Model governance, Model Risk programs across a large enterprise.
- Demonstrated knowledge and understanding of AI governance principles, including ethical considerations, regulatory compliance (e.g., EU AI Act and AI Executive Order) and risk management frameworks (e.g., NIST framework)
- Strong understanding of bias testing and remediation for machine learning and generative AI models
- General understanding of risk and compliance principals applied to AI Model Governance and data management solutions.
- Proven experiences in AI ethics, governance, compliance, or related roles
- Demonstrated ability to lead and influence change within complex organizational structures.
- Strong interpersonal skills and the ability to build relationships with stakeholders at all levels of the organization.