AI Governance Technology Lead

Lead, AI Testing & Monitoring

The Lead, AI Testing & Monitoring is a senior technical and governance role responsible for independently validating and continuously monitoring AI/ML models to ensure they meet enterprise standards for robustness, fairness, transparency, and compliance. This role supports the Responsible Use of AI (RUAI) framework by designing and executing rigorous validation protocols, deploying advanced monitoring capabilities, and leveraging governance tools to track, report, and remediate risks throughout the AI lifecycle.

• Lead design, development, and execution of independent AI/ML model validation frameworks across various use cases.
• Conduct bias audits, adversarial testing, and stress testing to evaluate model robustness, fairness, and resilience.
• Apply statistical testing, benchmarking, and explainability techniques to ensure model transparency and interpretability.
• Utilize synthetic data generation and automated testing frameworks to simulate edge cases for risk assessment.
• Document validation methodologies, findings, and risk-based recommendations for stakeholders, ensuring traceability and audit-readiness.
• Develop and implement enterprise AI monitoring frameworks for deployed models, focusing on real‑time performance tracking, bias detection, and compliance verification.
• Apply anomaly detection and observing solutions to identify and remediate performance degradation, drift, or ethical risks.
• Oversee incident response for AI failures, coordinating with risk, compliance, and engineering teams.
• Integrate monitoring insights into governance dashboards and reporting platforms.
• Ensure all testing and monitoring activities align with RUAI principles, industry best practices, and applicable regulations.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or related field.
• 5+ years in independent AI/ML model testing and validation, including robustness, fairness, and compliance verification.
• 3–5+ years in AI monitoring and risk management, real‑time model performance tracking, anomaly detection, and compliance monitoring.
• Proven experience developing and executing rigorous validation frameworks and performing bias, adversarial, and stress testing.
• Strong knowledge of AI governance principles, ethical AI frameworks, and relevant regulations (EU AI Act, GDPR, CCPA, Colorado AI Act, NIST AI RMF).
• Hands‑on experience with validation tools, statistical testing frameworks, synthetic data generation, automated testing platforms, and AI observability tools.
• Deep expertise in model validation, fairness audits, and explainability techniques.
• Proficiency in monitoring and logging frameworks for AI/ML systems.
• Strong analytical and problem‑solving skills; excellent written and verbal communication skills.

• Master’s degree (MBA or advanced degree in Computer Science/Information Management/Quantitative Analytics/Data Science).
• Experience establishing AI Governance programs, including processes, procedures, and frameworks for model testing, validation, monitoring, and risk management.

• Broad expertise in AI risk assessment, validation methodologies, monitoring tools, and regulatory developments.
• Ability to work across diverse teams and translate complex technical concepts into clear operational and compliance guidance.
• Experience leading workshops, training sessions, and cross‑functional knowledge sharing.
• Strong leadership and mentorship skills.

Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law.