Heartland · 1 month ago
Manager, AI Governance
Alpharetta, Georgia, USA
Full-time
Onsite
Mid, Senior Level
6+ years expHeartland is a Global Payments company that provides payment solutions for credit, debit, prepaid, and merchant services. The AI Governance Manager is responsible for building and executing the company’s AI governance capabilities, ensuring AI systems are deployed responsibly and in compliance with regulations while collaborating with various stakeholders to define risk classifications and manage governance workflows.
Credit CardsPaymentsTransaction Processing
No H1B
U.S. Citizen Only
Responsibilities
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 company ethical AI guidelines, AI governance requirements, industry standards, and applicable regulations (e.g., EU AI Act, NIST AI RMF, GDPR, CCPA, Colorado AI Act)
Maintain a model risk registry documenting validation results, identified risks, mitigation strategies, and model-specific governance decisions
Partner with Data Science, Engineering, Risk, Privacy, and Legal teams to ensure AI models meet responsible use expectations and regulatory obligations
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field
6+ years of experience in AI/ML governance, AI program management, model risk management, data governance, or related roles
Experience operationalizing AI governance frameworks, policies, and lifecycle management processes
Demonstrated experience managing cross-functional programs, coordinating stakeholders, and operationalizing complex governance workflows
Strong understanding of responsible/ethical AI principles, emerging regulatory requirements, and industry best practices
Strong understanding of AI/ML development lifecycles, governance mechanisms, and risk assessment methodologies
Ability to translate complex AI, governance, and compliance requirements into actionable processes and controls
Excellent communication skills with the ability to work effectively across technical and non-technical teams
Strong analytical, documentation, organizational, and stakeholder-management abilities
Self-starter comfortable operating in a fast-changing environment and influencing without direct authority
Preferred
Master's degree
Experience in AI model validation, fairness/bias testing, explainability techniques, and stress/adversarial testing
Experience with AI governance platforms, risk registers, testing frameworks, or lifecycle management tools
Benefits
Medical, dental and vision care
EAP programs
Paid time off
Recognition programs
Retirement and investment options
Charitable gift matching programs
Worldwide days of service
Company
Heartland
Heartland is a fintech company offering payment processing services and point of sale systems for businesses and educational institutions.
1001-5000 employees
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