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Executive Ai Governance Jobs (NOW HIRING)

East West Bank

AI Governance

Pasadena, CA · On-site

$130K/yr

Establish AI governance reporting, dashboards, metrics, and executive-level transparency related to AI adoption, business value, risk exposure, control effectiveness, and remediation progress. * Lead ...

East West Bank

AI Governance

Pasadena, CA · On-site

Establish AI governance reporting, dashboards, metrics, and executive-level transparency related to AI adoption, business value, risk exposure, control effectiveness, and remediation progress. * Lead ...

kgs

AI Governance Analyst

Washington, DC · On-site

The AI Governance Analyst will serve as a key contributor to SBA's AI governance program ... Support SBA's compliance with applicable federal AI requirements, including Executive Order 13960 ...

kgs

AI Governance Analyst

Washington, DC · On-site

The AI Governance Analyst will serve as a key contributor to SBA's AI governance program ... Support SBA's compliance with applicable federal AI requirements, including Executive Order 13960 ...

Credo AI

AI Governance Advisor

$170K - $180K/yr

About Credo AI The Credo AI Governance Platform operates as the trust layer for global enterprises ... level executives. You will be expected to roll-up your sleeves to engage in the full-lifecycle of ...

Koniag Services, Inc.

AI Governance Analyst

Washington, DC · On-site

$120 - $170/hr

Support SBA's compliance with applicable federal AI requirements, including Executive Order 13960 ... Develop and maintain AI governance documentation, including AI use case assessments, AI impact ...

CEI

AI Governance Leader

Pittsburgh, PA · On-site

Dallas or Pittsburgh Reports To: CEO We are seeking an experienced AI Governance Leader to build and lead enterprise AI governance, compliance, security, and risk management initiatives across AI ...

Soni Resources

Head of AI Governance

New York, NY · On-site

$225K/yr

Support governance councils and executive forums by providing risk insights, governance metrics ... Strong understanding of AI lifecycle management, governance frameworks, responsible AI principles ...

Cadent

Director, Data & AI Governance

Manhattan, NY

$180K - $210K/yr

Lead the AI Governance COE: head the AI Governance Center of Excellence (COE), establishing a ... Executive Collaboration & Reporting: Serve as a key advisor to the Executive Committee and senior ...

Cyber Sphere LLC

AI Governance Engineer

Chicago, IL · On-site

Strong communication skills, with the ability to work credibly with technical teams and translate technical risk into business, governance, compliance, and executive-facing language. Interest in AI ...

Cadent

Director, Data & AI Governance

Philadelphia, PA · On-site

Lead the AI Governance COE: head the AI Governance Center of Excellence (COE), establishing a ... Executive Collaboration & Reporting: Serve as a key advisor to the Executive Committee and senior ...

Cadent

Director, Data & AI Governance

Manhattan, NY · On-site

$180K - $210K/yr

Lead the AI Governance COE: head the AI Governance Center of Excellence (COE), establishing a ... Executive Collaboration & Reporting: Serve as a key advisor to the Executive Committee and senior ...

Cadent

Director, Data & AI Governance

Manhattan, NY · On-site

Lead the AI Governance COE: head the AI Governance Center of Excellence (COE), establishing a ... Executive Collaboration & Reporting: Serve as a key advisor to the Executive Committee and senior ...

CNA

AI Governance Consulting Director

Chicago, IL · On-site

$97 - $189/hr

Develops and delivers executive-level presentations, recommendations, training, and governance ... Expert knowledge of AI governance, Responsible AI principles, AI risk management, and governance ...

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Executive Ai Governance information

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$26.5K

$93.6K

$184K

How much do executive ai governance jobs pay per year?

As of Aug 29, 2026, the average yearly pay for executive ai governance in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is Executive AI Governance?

Executive AI Governance refers to the leadership and oversight responsibilities at the highest organizational level to ensure that artificial intelligence (AI) systems are developed, deployed, and managed ethically, legally, and safely. Executives in this role set policies, frameworks, and strategies to align AI initiatives with business goals while managing risks related to bias, transparency, and compliance. Their work involves collaborating with technical teams, legal advisors, and stakeholders to establish responsible AI practices and maintain public trust. This governance is increasingly important as AI applications become more widespread and influential in decision-making processes.

What are some of the most common challenges faced by professionals working in Executive AI Governance roles?

Professionals in Executive AI Governance often encounter challenges such as keeping up with rapidly evolving regulations and ensuring organizational compliance across diverse jurisdictions. Balancing innovation with ethical considerations and risk mitigation is another key hurdle, especially when coordinating between technical, legal, and business teams. Additionally, establishing clear policies for AI accountability and transparency can be complex, particularly in organizations deploying multiple AI systems. Collaboration and effective communication with stakeholders at all levels are essential to successfully navigate these challenges.

What are the key skills and qualifications needed to thrive as an Executive AI Governance professional, and why are they important?

To thrive as an Executive AI Governance professional, you need a strong background in artificial intelligence, data ethics, risk management, and regulatory compliance, often supported by advanced degrees or relevant certifications. Familiarity with AI frameworks, governance tools, and compliance systems such as ISO/IEC 38507 or NIST AI risk management standards is crucial. Strategic vision, leadership, and effective stakeholder communication are vital soft skills for driving responsible AI adoption across organizations. These competencies ensure safe, ethical, and compliant AI deployments that align with business objectives and regulatory requirements.

What is the difference between Executive Ai Governance vs Data Governance Manager?

AspectExecutive Ai GovernanceData Governance Manager
Required CredentialsAdvanced degrees in AI, Data Science, or related fields; certifications in AI ethics and governanceBachelor's or Master's in Data Management, Information Systems; certifications in Data Governance or Data Quality
Work EnvironmentStrategic leadership in AI projects, executive decision-making, cross-departmental collaborationOperational management of data policies, data quality assurance, team supervision
Employer & Industry UsageTech companies, AI-focused organizations, enterprises implementing AI solutionsCorporations with large data assets, IT departments, data-driven industries

Executive Ai Governance focuses on strategic oversight and ethical management of AI initiatives at an organizational level, often involving policy development and high-level decision-making. In contrast, Data Governance Managers handle the day-to-day management of data policies, quality, and compliance. Both roles require strong knowledge of data principles, but Executive Ai Governance emphasizes AI-specific governance and strategic leadership.

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Executive Ai Governance jobs near you
Infographic showing various Executive Ai Governance job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

AI Governance

East West Bank

Pasadena, CA • On-site

$130K/yr

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.

East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

118th of 173 rated banks

Job description

Introduction
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
Overview
East West Bank is seeking a highly experienced AI Governance to lead the design, implementation, and operationalization of the bank's enterprise AI governance framework. This role is designed for a hands-on governance leader with deep expertise in AI governance, data governance, risk management, and regulatory compliance within highly regulated industries. The ideal candidate combines practical implementation experience with strong understanding of AI/ML technologies, enterprise controls, data risk, model risk, operational governance, and responsible AI practices. The role will partner across business, technology, data, legal, risk, compliance, audit, and operations teams to establish scalable governance processes supporting AI use cases from intake through production monitoring and enterprise adoption. This position is part of East West Bank's Enterprise AI Strategy & Transformation organization, focused on scaling AI initiatives into governed, measurable, compliant, and enterprise-ready capabilities.
Responsibilities
  • Lead the design and implementation of the enterprise AI governance framework, operating model, standards, controls, and governance processes.
  • Establish and operationalize governance processes for AI intake, inventory management, prioritization, risk assessment, technology gating, approval workflows, monitoring, issue remediation, and value realization tracking.
  • Drive governance activities across the full AI lifecycle including ideation, proof of concept, pilot, production deployment, monitoring, model review, and retirement.
  • Partner with business, technology, data, legal, risk, compliance, cybersecurity, and audit teams to ensure AI initiatives align with enterprise governance standards and regulatory expectations.
  • Define governance controls for AI-enabled solutions including data quality, lineage, privacy, explainability, human oversight, auditability, retention, access governance, and operational resiliency.
  • Establish AI governance reporting, dashboards, metrics, and executive-level transparency related to AI adoption, business value, risk exposure, control effectiveness, and remediation progress.
  • Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions.
  • Evaluate AI technologies, platforms, and vendors to ensure alignment with enterprise architecture, security, compliance, operational, and risk standards.
  • Support regulatory, audit, model risk, and enterprise risk management activities related to AI and advanced analytics environments.
  • Translate governance policies into repeatable operational procedures, evidence requirements, controls, checklists, and implementation standards.
  • Promote enterprise AI governance awareness, adoption, and responsible AI practices across business and technology organizations.
  • Perform other duties as assigned.

Qualifications
  • 8+ years of experience in AI governance, data governance, model risk, enterprise risk, compliance, data management, or related governance disciplines within financial services, fintech, insurance, or other highly regulated industries.
  • Strong hands-on experience designing and implementing enterprise AI governance frameworks and operational governance processes in production environments.
  • Demonstrated experience operationalizing AI governance across AI intake, inventory management, prioritization, technology assessment/gating, risk assessment, approvals, monitoring, remediation, and value/metrics reporting.
  • Deep understanding of AI risk, model risk, data risk, operational risk, privacy, explainability, bias, human oversight, and responsible AI principles.
  • Strong understanding of regulatory, compliance, audit, and governance expectations related to AI, model governance, data governance, and enterprise controls.
  • Hands-on experience governing AI/ML, LLM, Generative AI, RAG, and advanced analytics solutions within enterprise environments.
  • Strong familiarity with enterprise governance tooling including Microsoft Purview, Collibra, Alation, Informatica, MLflow, model registries, monitoring platforms, and AI observability solutions.
  • Practical understanding of cloud data and AI ecosystems including Azure, Databricks, Snowflake, AWS, GCP, and modern data platforms.
  • Strong understanding of metadata management, data lineage, access governance, data lifecycle management, retention, and enterprise data quality controls.
  • Experience partnering across business, technology, risk, compliance, legal, cybersecurity, audit, and operations teams to operationalize governance at scale.
  • Strong analytical, executive communication, and stakeholder management skills with the ability to translate complex AI and governance risks into actionable business decisions.
  • Bachelor's degree in Information Systems, Computer Science, Data Management, Risk Management, Business Analytics, or related discipline.

Highly Preferred
  • Direct experience governing enterprise AI/GenAI programs within banking or highly regulated industries.
  • Strong familiarity with banking regulatory frameworks and governance expectations including SR 11-7, BCBS 239, CCAR, CECL, AML/BSA, privacy, and enterprise risk management standards.
  • Experience governing LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, Gemini, Bedrock, or open-source models.
  • Hands-on experience with AI governance related to RAG architectures, vector databases, AI monitoring, prompt governance, and model evaluation frameworks.
  • Experience implementing governance controls supporting AI explainability, fairness, auditability, monitoring, and evidence management.
  • Strong understanding of AI/ML lifecycle management, MLOps, model registries, and production monitoring frameworks.
  • Professional certifications such as CDMP, DAMA, Collibra, Microsoft Purview, risk management, or AI governance certifications.
  • Master's degree or advanced degree in Data Management, AI, Risk Management, Computer Science, or related quantitative discipline.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
Compensation
The base pay range for this position is USD $130,000.00/Yr. - USD $185,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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