AVP, AI Governance.Artificial Intelligence.MIT

Lead Mashreq’s enterprise-wide AI Governance program to ensure AI and ML (including GenAI / LLMs) are responsible, compliant, secure, fair, explainable, and well-controlled across their lifecycle. Establish policies, standards, and controls; oversee model risk governance; and enable safe, value-creating AI adoption aligned to Mashreq’s strategy, regulatory expectations, and customer trust.

Responsibilities

AI Policy & Standards

• Define, publish, and maintain Mashreq’s AI Governance Policy , standards, and procedures (Responsible AI, model lifecycle, GenAI safety, human-in-the-loop, data & privacy, monitoring).
• Embed policy into SDLC / MLOps, change management, and risk frameworks.

GenAI / LLM Controls

Regulatory & Assurance

Risk Management & Security Integration

Governance Operating Model

Stakeholder Enablement & Culture

Metrics & Reporting

Portfolio Oversight & Prioritization

Continuous Improvement

Continuous Improvement

Operates within Mashreq policies, risk appetite, IT standards, data protection requirements, and applicable regulatory guidance.

Works cross‑functionally with Technology (AI / ML Engineering, Data Platform, Cybersecurity) , Risk , Compliance , Legal , Audit , and Business Units ; engages external vendors / partners under third‑party risk controls.

Boundaries include approval mandates defined by Risk Committees, budget authority, and change governance.

Knowledge & Experience

Risk & Compliance : Familiar with model risk management concepts, Responsible AI principles, and audit practices.

Leadership & Communication : Executive stakeholder management, committee engagement, policy writing, training and change management.

Education & Certifications : Bachelor’s / Master’s in Computer Science, Data Science, Engineering, or related. Relevant certifications in risk, audit, or AI governance are advantageous.

#J-18808-Ljbffr