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AI Governance & Compliance Analyst

Q2 Holdings

Role at a glance

Category
AI Governance
Work arrangement
Hybrid
Location
Austin, TX
Posted
Jul 20, 2026
Apply for this roleApplications go directly to Q2 Holdings
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Q2 Holdings is hiring a AI Governance & Compliance Analyst in Austin, TX. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Q2 Holdings.

Defines and executes AI compliance strategies, policies, and testing workflows to ensure internal AI tools and customer products meet regulatory standards. Performs risk analyses on financial, cyber, and operational exposure from AI enablement. Owns model risk management oversight and vendor risk evaluations for third-party AI

Full responsibilities and requirements are on Q2 Holdings's application page.

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About Q2 Holdings
Hiring for governance, risk, and compliance roles on GRC Careers.
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Location and market context

This role is based in Austin, TX on a hybrid schedule. Local candidates benefit from being close to Q2 Holdings'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 Q2 Holdings 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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