AI Governance Consulting Director

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Senior-level individual contributor responsible for advancing CNAs enterprise AI governance program through strategic advisory governance framework design risk management and cross-functional leadership. This role serves as a recognized subject matter expert in Responsible AI providing thought leadership and technical guidance to ensure AI solutions are developed deployed and managed in alignment with enterprise risk tolerance regulatory expectations and ethical AI principles. The Consulting Director AI Governance partners closely with Technology Security Legal Compliance Data Risk and business leaders to establish scalable governance processes standards and controls that enable responsible AI innovation across the enterprise. This position operates with a high degree of autonomy and influences outcomes across complex matrixed environments without direct people management responsibility.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

• Serves as the enterprise subject matter expert on AI governance Responsible AI AI risk management and emerging regulatory requirements.
• Leads the development and maintenance of AI governance policies standards guidance documents and governance review methodologies; ensuring these are aligned with Technology/Security Risk and Enterprise Risk Management frameworks.
• Improves AI governance processes by introducing repeatable patterns right-sized review approaches and technology-enabled automation to streamline reviews documentation workflow management monitoring and reporting.
• Collaborates with Technology Risk and Security to embed and update AI-related risks and controls within IT and security governance risk and compliance frameworks.
• Implements updates to AI governance processes to support compliance with evolving regulatory requirements respond to regulator requests and enable audit readiness.
• Advises on complex AI risk scenarios involving Generative AI machine learning large language models agentic systems data handling practices model evaluation accuracy monitoring explainability bias mitigation and ongoing oversight.
• Provides strategic guidance on integrating AI governance requirements into business planning technology planning solution delivery and operational processes.
• Advises stakeholders on appropriate governance controls throughout the AI lifecycle including design development deployment monitoring and decommissioning activities.
• Consults on methodologies for AI risk monitoring control effectiveness measurement model evaluation and governance reporting.
• Develops and delivers executive-level presentations recommendations training and governance communications.
• Establishes and supports ongoing review of meaningful metrics and reporting mechanisms to assess AI governance program effectiveness and identify opportunities for continuous improvement.
• Monitors industry and technology developments and recommends enhancements to CNAs AI governance program to address evolving risks and opportunities.
• Collaborate with Corporate Compliance in their monitoring of AI related regulatory requirements and develops actions plans to maintain compliant with existing or new regulatory requirements
• May provide oversight and direction to contractors vendors consultants and cross-functional teams supporting governance initiatives.
• May perform additional duties as assigned.

Reporting Relationship

Typically reports to AVP or above.

Skills Knowledge & Abilities

• Expert knowledge of AI governance Responsible AI principles AI risk management and governance frameworks.
• In-depth understanding of Generative AI machine learning large language models model risk management data governance information security privacy and regulatory compliance considerations.
• Proven ability to design implement and operationalize governance frameworks standards policies methodologies and controls within complex organizations.
• Demonstrated experience developing governance frameworks risk methodologies standards policies or controls within large organizations.
• Demonstrated expertise assessing emerging AI risks and translating technical regulatory and ethical considerations into practical business recommendations.
• Proven ability to influence senior leaders drive alignment and achieve outcomes across highly matrixed organizations without direct authority.
• Excellent communication facilitation presentation and stakeholder management skills with experience communicating effectively at executive levels.
• Strong analytical conceptual and problem-solving capabilities.
• Experience leveraging workflow automation analytics dashboards and reporting solutions to improve governance operations and decision-making.
• Ability to balance innovation enablement with prudent risk management and regulatory compliance objectives.
• Strong program management and organizational skills with the ability to manage multiple priorities simultaneously.

Education & Experience

• Bachelors degree in Computer Science Information Systems Data Science Risk Management Business Law Compliance or related discipline required; Masters degree preferred.
• Typically a minimum of 10 years of experience in AI governance technology risk information security model risk management data governance privacy compliance or related disciplines.

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In certain jurisdictions CNA is legally required to include a reasonable estimate of the compensation for this District of Columbia California Colorado Connecticut Illinois Maryland Massachusetts New York and Washington the national base pay range for this job level is $97000 to $189000 determinations are based on various factors including but not limited to relevant work experience skills certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees and their family members achieve their physical financial emotional and social wellbeing goals. For a detailed look at CNAs benefits please visit.

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