AI Governance Program Manager

Career Guide

An AI Governance Program Manager builds and runs the policies, reviews, and operating routines that help an organization use AI safely, legally, and responsibly. The role connects business teams, technical teams, legal, security, and risk to reduce harm, improve transparency, and support compliant AI delivery at scale.

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Key Responsibilities

Define AI governance goals, scope, and success metrics
Create and maintain AI policies, standards, and guidelines
Set up an AI intake process for new use cases
Run risk assessments for AI systems across their lifecycle
Coordinate model review and approval workflows
Partner with legal and privacy teams on regulatory requirements
Work with security teams on controls for data and model access
Establish documentation requirements for AI systems
Monitor compliance with internal policies and external rules
Track AI incidents and lead corrective action planning
Build training and awareness programs for teams using AI
Report governance status and risks to leadership
Manage a cross functional governance committee cadence
Maintain a roadmap for governance tooling and process improvements

Top Skills for Success

Program Management

Stakeholder Management

Risk Management

Policy Writing

Change Management

Communication

Regulatory Awareness

Privacy Fundamentals

Security Fundamentals

Vendor Risk Management

AI Lifecycle Knowledge

Model Risk Assessment

Data Governance

Responsible AI Principles

Model Documentation

Audit Readiness

Control Design

Incident Management

Career Progression

Can Lead To

AI Governance Lead

Responsible AI Lead

AI Risk Manager

Model Risk Management Lead

AI Compliance Manager

AI Program Director

Transition Opportunities

Product Operations Manager

Privacy Program Manager

Security Program Manager

Enterprise Risk Manager

Trust and Safety Manager

Technical Program Manager

Common Skill Gaps

Often Missing Skills

Hands on AI risk assessment experienceModel documentation ownershipGovernance metrics and reporting designAI incident response practiceData lineage knowledgeThird party AI evaluation experiencePolicy to control translation

Development SuggestionsBuild experience by leading a pilot governance workflow for a small set of AI use cases, creating a reusable risk assessment template, and producing an executive dashboard that tracks approvals, exceptions, and incidents. Pair this with a strong understanding of privacy, security, and documentation expectations.

Market Intelligence Report

AI Governance Program Manager is part of the Program Management category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

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Salary & Demand

Median Salary Range

Entry LevelUSD 105,000 to 135,000

Mid LevelUSD 135,000 to 175,000

Senior LevelUSD 175,000 to 230,000

Growth Trend

Strong growth. Hiring demand is increasing as AI adoption expands and new regulations raise expectations for oversight, documentation, and risk controls.

Companies Hiring

Major Employers

MicrosoftGoogleAmazonMetaAppleSalesforceIBMAccentureDeloittePwCJPMorgan ChaseBank of AmericaWells FargoUnitedHealth GroupCVS HealthPfizerSiemensSAPOracleServiceNow

Industry Sectors

TechnologyFinancial ServicesHealthcareInsuranceRetailManufacturingTelecommunicationsProfessional ServicesGovernment

Recommended Next Steps

Inventory current AI use cases and create a centralized register

Draft a lightweight AI policy and a set of practical standards

Implement an intake and approval workflow with clear owners

Create a repeatable AI risk assessment process and checklist

Define documentation requirements and a review cadence

Set up governance metrics and a monthly reporting rhythm

Run training sessions for product and engineering teams

Partner with legal, privacy, and security to align controls

Pilot an incident process for AI related issues and escalation

Identify tooling needs for tracking, evidence, and audits