Heartland · 1 day ago
AI Governance Technology Lead
Alpharetta, Georgia, USA
Full-time
Hybrid
Senior Level, Lead/Staff
5+ years expHeartland is a Global Payment Holding Company that provides payment solutions for millions of people. The AI Governance Technology Lead is responsible for independently validating and monitoring AI/ML models to ensure compliance with enterprise standards and ethical principles.
Credit CardsPaymentsTransaction Processing
Responsibilities
Lead the 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 against vulnerabilities
Apply statistical testing, benchmarking methodologies, and explainability (XAI) techniques to ensure models are transparent and interpretable
Utilize synthetic data generation and automated testing frameworks to simulate edge cases and rare scenarios 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 AI observability solutions to identify and remediate performance degradation, drift, or ethical risks
Oversee incident response for AI failures, coordinating with risk, compliance, and engineering teams to ensure timely mitigation
Integrate monitoring insights into governance dashboards and reporting platforms to inform executives and regulatory stakeholders
Ensure all testing and monitoring activities align with RUAI principles, industry best practices, and applicable regulations (e.g., EU AI Act, GDPR, CCPA, Colorado AI Act, NIST AI RMF)
Leverage AI governance platforms and risk assessment tools to centralize validation evidence, compliance records, and ongoing monitoring metrics
Partner with Legal, Compliance, and Risk to interpret regulatory requirements and translate them into actionable technical and operational controls
Provide expert guidance to data scientists and engineers on bias mitigation, fairness optimization, and explainability best practices
Stay informed on emerging trends in AI risk assessment, validation methodologies, monitoring tools, and regulatory developments
Lead workshops, training sessions, and cross-functional knowledge sharing to advance organizational maturity in AI testing and monitoring
Contribute to enterprise AI governance strategy by identifying technology investments, process enhancements, and automation opportunities
Provides guidance and mentoring to analysts, as needed
Qualification
Required
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, including 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 with the ability to identify risks and propose actionable mitigations
Excellent written and verbal communication skills to document findings, influence stakeholders, and present to executive leadership
Ability to work across diverse teams and translate complex technical concepts into clear operational and compliance guidance
Preferred
Master's Degree
Typically, Masters in Business Administration, Computer Science, Information Management, Quantitative Analytics, Data Science, or similar discipline
Experience establishing AI Governance programs, specifically processes, procedures, and frameworks for AI model testing and validation, AI solution monitoring, and AI risk management
Company
Heartland
Heartland is a fintech company offering payment processing services and point of sale systems for businesses and educational institutions.
1001-5000 employees
H1B Sponsorship
Heartland has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2025-05-28Acquired
Leadership Team
Asif Bhagat, PharmD
ISO Partner
Becky Chapin
Client Partner
Recent News
2025-06-05
Payments Dive
2025-05-28
2024-06-01
Company data provided by crunchbase