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AI Governance Analyst
Role at a glance
- Category
- AI Governance
- Work arrangement
- Hybrid
- Location
- Chicago, IL
- Salary range
- $78,750 to $131,250
- Posted
- Jul 20, 2026
TransUnion is hiring a AI Governance Analyst in Chicago, IL. This is a AI Governance role in the governance, risk, and compliance field, with a posted range of $78,750 to $131,250. Review the full details below and apply directly with TransUnion.
Coordinates AI risk assessments, manages the global AI inventory, and ensures enterprise alignment with the NIST AI Risk Management Framework and emerging privacy laws. Facilitates periodic reviews of AI use cases across business units and produces risk oversight reports for management committees. Partners with Third Party Risk, InfoSec, and Privacy teams on cross-functional AI governance
Full responsibilities and requirements are on TransUnion's application page.
Apply for this role →Location and market context
This role is based in Chicago, IL on a hybrid schedule. Local candidates benefit from being close to TransUnion's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how TransUnion would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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