Manager, AI Governance

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.

Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

The AI Governance Manager is a key role within the Enterprise Data & AI Governance Program, responsible for building, executing, and continuously improving the company’s AI governance capabilities. This role leads the operationalization of a comprehensive AI governance framework aligned to corporate policies, objectives, and mission, ensuring that AI systems are deployed responsibly, ethically, and in compliance with applicable regulations.

The AI Governance Manager collaborates with enterprise, technology, legal, and business stakeholders to define risk classifications for AI project intake and enables governance roles and responsibilities, maintain governance workflows, and ensure appropriate oversight of AI initiatives. This role also establishes and manages the AI metrics, reporting structures, communication plans, and feedback loops that drive transparency and maturity of the AI program.

In addition, the AI Governance Manager is responsible for defining and executing a robust AI model validation framework—ensuring all AI models undergo rigorous performance, fairness, and explainability testing throughout their lifecycle. The role maintains the model risk registry, human in the loop controls, oversees stress testing protocols, and ensures all AI solutions meet ethical, regulatory, and company-defined standards.

• Establish and operationalize a formal AI governance framework aligned with enterprise policies, mission, and strategic objectives.
• Define, refine, and oversee AI governance roles, responsibilities, processes, and procedures.
• Maintain and manage escalation and approval channels for AI use, ensuring proper oversight based on AI risk level.
• Lead ongoing change management activities to support responsible AI adoption and enterprise AI integration efforts.
• Manage the AI project intake process, ensuring consistent evaluation, routing, and prioritization of AI initiatives.
• Serve as a primary point of contact for business representatives seeking AI guidance, approvals (human in the loop controls), or governance support.
• Maintain and update a comprehensive inventory of AI assets, models, and projects across the enterprise.
• Continuously collect, assess, and incorporate stakeholder feedback to enhance AI governance practices and program maturity.
• Review, own, and manage ongoing updates to AI policies, standards, and procedures (PSP).
• Maintain and execute communication plans to ensure stakeholders are informed of governance changes, risks, updates, and expectations.

• Define, maintain, and report on metrics, KPIs, and performance indicators that track the progress, risk posture, and operational effectiveness of the AI program.
• Provide regular reporting to program leadership, risk committees, and executive stakeholders.
• Support audit and compliance activities by ensuring governance documentation and AI lifecycle artifacts remain complete and up-to-date.

• Develop and maintain a comprehensive AI model validation framework that includes performance benchmarks, bias and fairness assessments, explainability requirements, and risk scoring.
• Conduct rigorous pre-deployment, during-deployment, and post-deployment model testing to evaluate robustness, accuracy, stability, and scalability under real-world operating conditions.
• Establish and maintain stress testing protocols to evaluate model behavior under extreme scenarios, adversarial conditions, and edge cases.
• Validate compliance with…