Lead AI Governance Risk Specilaist

About the role

The Lead - AI Governance Risk Specialist is responsible for identifying, assessing, and mitigating risks associated with the deployment and use of Artificial Intelligence (AI) technologies within the organization. This role ensures that AI systems comply with regulatory standards, ethical guidelines, governance expectations, and responsible AI principles while fostering a culture of responsible AI use. This role supports AI governance and risk oversight with emphasis on the evaluation of AI use cases, AI-enabled tools, data considerations, third-party solutions, testing approaches, monitoring requirements, and control effectiveness. The role partners across business, technology, cybersecurity, legal, compliance, privacy, data governance, third-party risk, model risk, and enterprise risk functions to support effective oversight, executive reporting, and responsible AI adoption.

Responsibilities

• Evaluate AI risk assessments and governance reviews of AI systems, tools, applications, and AI-enabled third-party solutions.
• Evaluate governance, data, technology, security, responsible AI, model, deployment, and monitoring needs.
• Support risk mitigation to address issues and align with AI governance policies.
• (30%) Evaluate AI testing, monitoring, control effectiveness, and assurance needs.
• Support reviews of testing methods, validation approaches, performance monitoring, issue remediation, control testing, audit readiness, and governance effectiveness.
• Assess accuracy, explainability, reliability, drift, hallucinations, human oversight, and unintended outcomes.
• Collaborate with cross-functional teams to develop, maintain, and update AI governance policies, standards, procedures, risk-based approval processes, and documentation.
• Support alignment with frameworks, risk taxonomy, control expectations, intake requirements, and enterprise governance across business, technology, risk, legal, privacy, and compliance.
• (15%) Develop AI governance metrics, risk insights, and reporting materials for executive, board-level, governance committee, and leadership discussions.
• Translate technical AI concepts, risks, assumptions, limitations, and monitoring results into clear business, risk, compliance, and executive-level communications.
• (10%) Support incident response, issue remediation, audit readiness, and ongoing governance effectiveness for AI governance risks.
• Coverage coordination with stakeholders to ensure AI-related issues, findings, control gaps, and remediation activities are identified, documented, monitored, and addressed through established governance and risk management processes.

Qualifications

• High School Diploma or GED.
• 8-10 years of experience in Risk Management, Information Security, Data Governance, Technology Risk, AI Governance, Model Risk, or related governance, risk, and compliance functions, including working knowledge of AI, machine learning, Generative AI, Large Language Models (LLMs), AI deployment practices, and AI-enabled technology risk.
• 10+ years Experience supporting risk assessments, governance reviews, control testing, monitoring, assurance activities, audit readiness, executive reporting, or cross-functional governance processes.
• 10+ years Experience supporting AI governance, model risk management, data governance, cybersecurity, third-party risk, or other technology risk management programs.
• Knowledge of emerging AI capabilities and risk considerations, including Generative AI, Large Language Models, Retrieval-Augmented Generation (RAG), agentic AI, explainability, reliability, bias, data leakage, prompt injection, vendor AI risk, and AI monitoring practices.

Skills

• Analytical Thinking
• Problem Solving
• Business Change Management
• Business Communications