AI Governance Consulting Director

About this role

You have a clear vision of where your career can go. And we have the leadership to help you get there.  At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential. 

Senior-level individual contributor responsible for advancing CNA's 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 CNA's 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 • Bachelor's degree in Computer Science, Information Systems, Data Science, Risk Management, Business, Law, Compliance, or related discipline required; Master's 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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I n certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia , California, Colorado, Connec

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