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Ai Governance Professional Jobs (NOW HIRING)

East West Bank

AI Governance

Pasadena, CA · On-site

$130K/yr

Our teams of experienced, multi-cultural professionals help guide businesses and community members ... Overview East West Bank is seeking a highly experienced AI Governance to lead the design ...

East West Bank

AI Governance

Pasadena, CA

Our teams of experienced, multi-cultural professionals help guide businesses and community members ... East West Bank is seeking a highly experienced AI Governance to lead the design, implementation ...

kgs

AI Governance Analyst

Washington, DC

The ideal candidate is a knowledgeable and forward-thinking professional with expertise in ... The AI Governance Analyst will serve as a key contributor to SBA's AI governance program ...

kgs

AI Governance Analyst

Washington, DC

The ideal candidate is a knowledgeable and forward-thinking professional with expertise in ... The AI Governance Analyst will serve as a key contributor to SBA's AI governance program ...

Koniag, Inc.

AI Governance Analyst

Washington, DC · On-site

$110K - $134K/yr

The ideal candidate is a knowledgeable and forward-thinking professional with expertise in ... The AI Governance Analyst will serve as a key contributor to SBA's AI governance program ...

Verisk

Director, AI Governance Lead

Jersey City, NJ

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. Description Verisk Analytics is seeking a Director, AI Governance Lead to advance the responsible ...

AMA CONSULTING LLC.

AI Governance Lead

Lanham, MD · On-site

Join a dynamic team of forward-thinking professionals in our growing company supporting cutting-edge AI innovation and national security initiatives. AI Governance Lead The AI Governance Lead will ...

Iberdrola

Sr Manager - Data & AI Governance

Orange, CT · On-site

Professional development and clear career advancement pathways For more information please visit: Benefits - Avangrid Job Summary The Senior Manager - Data & AI Governance role is responsible for ...

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Ai Governance Professional information

What are some typical challenges faced by AI Governance Professionals when implementing governance frameworks within organizations?

AI Governance Professionals often encounter challenges such as aligning diverse stakeholder interests, ensuring compliance with evolving regulations, and integrating ethical considerations into technical workflows. These professionals must navigate complex organizational structures and work closely with data scientists, legal teams, and executives to develop policies that are both practical and enforceable. Staying up-to-date with rapidly changing AI technologies and global standards is also crucial, requiring continuous learning and adaptation.

What is the difference between Ai Governance Professional vs Data Privacy Analyst?

AspectAi Governance ProfessionalData Privacy Analyst
Required CredentialsCertifications in AI ethics, governance, or related fields; often a background in AI or data scienceCertifications in data privacy laws (e.g., CIPP), data protection, or compliance; background in law or data management
Work EnvironmentCorporate, tech companies, AI development firms focusing on ethical AI deploymentLegal, compliance departments, or data protection teams within organizations
Employer & Industry UsagePrimarily in AI-focused industries, tech companies, and organizations implementing AI solutionsAcross industries handling sensitive data, including healthcare, finance, and tech

While both roles involve compliance and ethical considerations, the Ai Governance Professional focuses on overseeing AI systems' ethical use and governance, whereas the Data Privacy Analyst concentrates on protecting personal data and ensuring compliance with privacy laws.

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

To excel as an AI Governance Professional, you need a solid understanding of artificial intelligence, data privacy laws, risk management, and policy development, often supported by degrees in law, computer science, or data ethics. Familiarity with regulatory frameworks (such as GDPR), AI auditing tools, and governance platforms is typically required, and certifications like CIPP/E or CISA can be advantageous. Strong analytical thinking, stakeholder management, and effective communication are essential soft skills for interpreting complex regulations and building consensus. These competencies ensure that AI systems are developed and used responsibly, minimizing risks while complying with legal and ethical standards.

What are AI Governance Professionals?

AI Governance Professionals are specialists who develop, implement, and oversee policies, frameworks, and processes to ensure that artificial intelligence systems are used ethically, legally, and responsibly within organizations. They work to minimize risks related to AI, such as bias, privacy breaches, and unintended consequences, while promoting transparency and accountability. Their role often involves collaborating with stakeholders across technical, legal, and business teams to align AI initiatives with regulatory standards and organizational values.
More about Ai Governance Professional jobs
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What are the most commonly searched types of Ai Governance jobs? The most popular types of Ai Governance jobs are:
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What job categories do people searching Ai Governance Professional jobs look for? The top searched job categories for Ai Governance Professional jobs are:
Ai Governance Professional jobs near you
Infographic showing various Ai Governance Professional job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 5% Temporary, and 16% Contract. Highlights an 68% In-person, and 32% Remote job distribution.
AI Governance

AI Governance

East West Bank

Pasadena, CA • On-site

$130K/yr

Full-time

Posted 22 days ago

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 170 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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