Responsible AI / Model Risk Managers oversee the governance, validation, and ongoing monitoring of AI and advanced analytical models. They ensure models are reliable, explainable, fair, and aligned with organizational risk appetite and policy expectations. Their work includes defining model risk frameworks, validation standards, lifecycle controls, and escalation mechanisms. They collaborate with analytics, technology, risk, legal, and leadership teams to balance innovation with control. These roles are critical in organizations using automated decision systems at scale. Global demand is rising as AI adoption expands and organizations require disciplined oversight to manage trust, risk, and long-term sustainability.