AVP, AI Governance.Artificial Intelligence.MIT

AVP, AI Governance – Artificial Intelligence – MIT

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Overview

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

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

Seniority level

Executive

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Banking

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