This role pays less than
94%
of similar roles. Most pay
$195,303–$278,000
— the shaded band above.
At the midpoint, this role pays about
$143k
versus about
$237k
for comparable roles.
Based on 240 similar postings.
Employer
About CNA Financial
CNA Financial is a Chicago-based commercial property and casualty insurance company, offering business insurance and risk-management services to companies across the United States and internationally.
CNA Financial currently has
18 open roles
on FindRole.
Listed pay typically runs
$97,000–$189,000
across 15 roles with salary data.
The AI Governance Consulting Director is a senior-level individual contributor responsible for advancing the enterprise AI governance program through strategic advisory, risk management, and cross-functional leadership. This role serves as a subject matter expert in Responsible AI, where you will develop and maintain policies, standards, and review methodologies aligned with technology risk and enterprise frameworks. You will build scalable processes using automation to streamline monitoring, reporting, and documentation while advising on complex scenarios involving Generative AI, machine learning, large language models, and agentic systems. Key responsibilities include managing data handling practices, model evaluation, accuracy monitoring, explainability, and bias mitigation. The role requires expertise in information security, privacy, and regulatory compliance to ensure AI solutions meet ethical principles and risk tolerances while enabling innovation across the enterprise within a complex, matrixed environment.
Serve as the primary subject matter expert on AI governance, risk management, and emerging regulatory requirements.
Develop and maintain AI governance policies, standards, guidance documents, and review methodologies.
Automate and streamline governance processes using technology-enabled tools for monitoring and reporting.
Embed AI-related risks and controls into existing IT and security governance frameworks.
Advise on complex risk scenarios involving Generative AI, machine learning, and large language models.
Provide strategic guidance on integrating AI requirements into business planning and solution delivery.
Deliver executive-level presentations and training regarding AI governance programs and metrics.
Monitor industry trends to recommend enhancements for the enterprise AI governance program.
What we're looking for
Bachelor's degree in Computer Science, Information Systems, Data Science, Risk Management, Business, Law, Compliance, or a related discipline.
Master's degree (preferred).
Minimum of 10 years of experience in AI governance, technology risk, information security, model risk management, data governance, privacy, compliance, or related disciplines.
Expert knowledge of AI governance, Responsible AI principles, and AI risk management.
In-depth understanding of Generative AI, machine learning, large language models, and regulatory compliance considerations.
Proven ability to design and operationalize governance frameworks, standards, policies, and controls within complex organizations.
Demonstrated experience translating technical, regulatory, and ethical considerations into practical business recommendations for senior leaders.
Strong communication, facilitation, and stakeholder management skills with the ability to influence outcomes in matrixed environments.
AI
Generative AI
GRC
Model Risk Management
Data Governance
Cybersecurity
Risk Management
Compliance
Policy Development
regulatory, compliance
Advanced Analytics
NCUA
CFPB
GLBA
AI
Machine Learning
GenAI
Data Science
Data Analytics
Model Lifecycle Management
Risk Assessment
Data Privacy
Statistical Computing
Data Visualization
Quality Assurance
Regulatory Compliance
FDA
EMA
ISO/IEC Standards
EU AI Act
Digital Health
Process Optimization
AI
Machine Learning
Generative AI
LLM
AWS
Google Cloud
DevSecOps
CI/CD
SDLC
NIST AI RMF
OWASP Top 10 for LLMs
MITRE ATLAS
Threat Modeling
Vulnerability Management