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AI Governance Technology Lead

TSYS (Global Payments)
AI GovernanceHybridFull-timeColumbus, GA

TSYS (Global Payments) is hiring for the role of AI Governance Technology Lead, Columbus, GA (Hybrid). This is an AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with TSYS (Global Payments).

Organization: TSYS (Global Payments)Location: Columbus, GAWorkplace: HybridFocus: AI GovernancePosted: Jul 27, 2026
TSYS (Global Payments) is hiring for this AI Governance role in Columbus, one of the metros GRC Careers tracks for governance, risk, and compliance hiring. See other GRC roles in Columbus →

Serves as a senior technical and governance lead responsible for validating and continuously monitoring enterprise AI/ML models in alignment with the Responsible Use of AI framework. Designs independent AI validation protocols, conducts bias and fairness audits, and implements AI observability solutions across cross-functional engineering and compliance teams.

Location and market context

This role is based in Columbus on-site. Local candidates benefit from being close to TSYS (Global Payments)'s teams and regional hiring market. 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 TSYS (Global Payments) 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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