Director of Artificial Intelligence

Director of Artificial Intelligence

Requirements

• Proven experience deploying AI solutions in a corporate setting, preferably in banking, fintech, or payments.
• Strong knowledge of AI regulations, compliance (e.g., GDPR, CCPA), and ethical AI frameworks.
• Proficiency in AI technologies such as natural language processing (NLP), deep learning, and predictive analytics.
• Exceptional leadership and communication skills, with the ability to drive change across an organization
• Demonstrated ability to balance technical leadership and team management
• Crisp communication and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders
• Strategic planning and cross-functional collaboration skills

Responsibilities

• Strategic Leadership, AI Integration, AI Governance
• Help define and enforce AI policies, standards, procedures and overall framework that is aligned with evolving regulatory requirements (e.g., GDPR, NIST AI Risk Management Framework)
• Develop and execute an AI roadmap aligned with MCB’s strategic goals
• Identify opportunities for AI-driven innovation in operations, customer service, compliance, and risk management
• Oversee AI research and development efforts to ensure cutting-edge capabilities
• Implement AI-powered solutions such as chatbots, fraud detection, predictive analytics, and intelligent automation
• Ensure AI systems comply with ethical principles, including fairness, accountability, transparency, and explainability
• Establish data policies and frameworks to maximize AI efficiency while safeguarding privacy
• Partner with IT, legal, compliance, risk, and customer service teams to integrate AI seamlessly into existing workflows
• Educate and train the Board of Directors, executive management and employees AI capabilities and best practices
• Work closely with fintech and AI vendors to select the right technology stack to support MCB strategic objectives
• Monitor AI-driven systems and models for accuracy, bias, reliability, performance, model drift and operational risks
• Develop and maintain AI risk registers, tracking and reporting AI-related risks to executive management and the Board
• Define key performance indicators (KPIs) to measure AI effectiveness and Key Risk Indicators (KRIs) to measure risks
• Design and implement internal controls to monitor AI performance, accuracy, and compliance with policies
• Stay ahead of regulatory requirements and emerging AI trends in banking
• Other duties as assigned

Preferred Qualifications

• Successful implementation of substantial GenAI functionality in a production context
• A strategic thinker and effective communicator offering expertise in technological development and the demonstrated ability to implement and execute organizationally
• Collaborative team-player who can find progressive and practical solutions in a dynamic work environment.
• Proven success building high-performing technical teams and working with rapid growth and implementing change
• Demonstrated success delivering customer-centric tools adding value to the end users while also anticipating operational needs and delivering tools that result in value-added services to the organization