AI Model Risk Manager

Career Guide

An AI Model Risk Manager helps an organization understand, measure, and reduce the risks created by using AI models. The role focuses on preventing harm such as unfair outcomes, unreliable performance, data leakage, security weaknesses, and failures to meet laws and internal policies. They work with data science, engineering, legal, and business teams to ensure AI systems are safe, well tested, and well documented before and after launch.

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Key Responsibilities

Define a risk framework for AI models across development, testing, launch, and ongoing monitoring
Review model documentation for clarity, completeness, and decision traceability
Assess data quality, data suitability, and data access controls for training and production use
Evaluate model performance and stability using repeatable testing and independent checks
Identify and track fairness risks and potential harmful impacts to users and customers
Assess explainability needs and ensure appropriate transparency for model use cases
Design monitoring plans for model drift, performance degradation, and unexpected behavior
Run risk reviews for third party models and vendor AI tools
Partner with legal and compliance teams to map regulatory expectations to internal controls
Lead issue management, including risk acceptance decisions, remediation plans, and retesting
Prepare materials for audits and senior leadership reviews
Train stakeholders on model risk standards and responsible AI practices

Top Skills for Success

Risk Assessment

Stakeholder Management

Clear Writing

Program Management

Statistical Reasoning

Data Governance

Regulatory Awareness

Model Validation

Bias Testing

Model Monitoring

Model Documentation

Third Party Risk Management

Career Progression

Can Lead To

Senior AI Model Risk Manager

AI Risk Lead

Head of Model Risk Management

Responsible AI Program Manager

AI Governance Lead

Transition Opportunities

Enterprise Risk Manager

Compliance Manager

Data Governance Manager

Security Risk Manager

AI Product Manager

Common Skill Gaps

Often Missing Skills

Model ValidationBias TestingModel MonitoringData GovernanceRegulatory AwarenessClear Writing

Development SuggestionsBuild a portfolio of risk reviews for real or simulated AI use cases. Practice writing short model risk reports that explain the risk, the evidence, and the decision. Strengthen hands on testing skills by learning how to evaluate performance, stability, and fairness. Study the organization rules that apply to high impact AI and map them into simple control checklists.

Market Intelligence Report

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

See the market intelligence report

Salary & Demand

Median Salary Range

Entry LevelUSD 105,000 to 135,000

Mid LevelUSD 135,000 to 175,000

Senior LevelUSD 175,000 to 240,000

Growth Trend

Growing strongly. Demand is rising as more companies deploy AI in high impact decisions and face greater regulatory and reputational pressure to prove safety, reliability, and responsible use.

Companies Hiring

Major Employers

JPMorgan ChaseBank of AmericaWells FargoGoldman SachsMorgan StanleyCapital OneAmerican ExpressPayPalVisaMastercardIBMMicrosoftGoogleAmazonDeloittePwCEYKPMGAccenture

Industry Sectors

BankingInsurancePaymentsFinancial technologyConsultingCloud servicesHealthcareRetail

Recommended Next Steps

Create a one page AI model risk checklist that covers data, performance, fairness, security, and monitoring

Practice model review by assessing a public model card and rewriting it into clearer documentation

Learn a repeatable validation workflow and apply it to a sample model with a written findings report

Build a monitoring plan template with metrics, thresholds, alerts, and ownership

Partner with a data science team to participate in a model launch review or a post launch incident review

Update your resume with measurable examples such as reduced incidents, improved controls, or faster review cycles