AVP, AI Governance.Artificial Intelligence.MIT at Mashreq Careers

, , United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Governance, Model Risk Management, Responsible AI, Policy Writing, Stakeholder Management, Training, Change Management, Cybersecurity, Data Protection, Operational Risk, Third-Party Risk, Incident Response, Monitoring, Compliance, Audit Practices, Metrics Reporting

Industry

Banking

Description

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. 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 Define guardrails for prompt security, data leakage prevention, content safety, output evaluation, and usage logging. Regulatory & Assurance Interpret applicable regulations and guidance; evidence compliance and audit readiness. Risk Management & Security Integration Align AI controls with Cybersecurity, Data Protection, Operational Risk, and Third‑Party Risk. Implement access controls, encryption, privacy-by-design, and incident response for AI systems. Governance Operating Model Design RACI and governance workflows, from use‑case intake to go‑live and sunset. Drive adoption of tools (model registry, monitoring dashboards, policy attestations). Stakeholder Enablement & Culture Train teams on Responsible AI; run awareness campaigns; publish guidance/playbooks. Partner with Business, Technology, Data, Risk, Compliance, Legal, and Audit to enable safe innovation. Metrics & Reporting Define KPIs/KRIs (policy adherence, coverage, validation backlog, incidents, bias and drift metrics). Provide executive dashboards and regular reporting to leadership committees. Portfolio Oversight & Prioritization Triage and prioritize AI use cases; ensure value vs. risk trade-offs and timely approvals. Escalate material risks and recommend risk treatment or go/no‑go decisions. Continuous Improvement Benchmark against leading frameworks (e.g., risk management, AI RMF, ISO standards). Industrialize governance processes and automate controls.  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.

Responsibilities

Lead Mashreq’s enterprise-wide AI Governance program to ensure responsible and compliant AI and ML practices. Establish policies, standards, and controls while overseeing model risk governance and enabling safe AI adoption.