# AI Cybersecurity Risk Senior Manager — SAB

Canonical: https://jobxdubai.com/jobs/li-4479405365-ai-cybersecurity-risk-senior-manager
Location: Riyadh, Saudi Arabia
Type: full_time · Level: lead
Monthly salary: AED 8,820 to 14,700 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-10-21
Apply: https://www.linkedin.com/jobs/view/ai-cybersecurity-risk-senior-manager-at-sab-4479405365?_l=en

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## Description

Title: AI Cybersecurity Risk Senior Manager

Division: Cybersecurity

Location: Riyadh

Working Hours: 8:00 AM to 5:00 PM (Sunday to Thursday)

Role:

Cybersecurity Risk Management to support in managing the enterprise-wide cybersecurity risk management program. This position is responsible for conducting threat modeling, developing and maintaining risk assessment methodologies under the risk management team, Also play a critical role in protecting the organization’s information assets by identifying, assessing

Core Responsibilities:

• Applies the risk framework and control set to specific AI use cases – analyzing exposure to model inversion/extraction, poisoning, prompt injection, and supply-chain risk for reviewed system.

• Assess proposed use cases from cybersecurity risk perspective.

• Conducts working-level design level review of AI systems across the lifecycle (data pipelines, training, inference infrastructure, MLOps/CI-CD) against AI security standard.

• Applies established technical standards to day-to-day assessments; feeds field-level input back to the Senior Manager for standard updates.

• Attends cross-functional design reviews (IT, Model Risk, Data Management, Legal, Compliance) at working level, documenting and tracking control requirements per AI initiative.

• Tracks remediation actions on identified risks, validates evidence of technical closure, and flags unresolved items upward.

• Prepares the underlying analysis and data that feed the Senior Manager’s risk reporting.

• Provides AI/ML technical context and analysis to SOC during AI-related security events.

• Verifies specific AI implementations against approved control requirements and risk boundaries, escalating exceptions.

• Applies the security-by-design checklist to individual AI initiatives across development, deployment, monitoring, and evolution.

• Engages directly with early-stage AI project teams to flag gaps before build begins.

• Performs technical identification of AI-specific threats (data leakage/poisoning, model misuse, prompt injection, model drift) for individual use cases and recommends mitigating controls.

• Collaborate with cybersecurity teams to inserts AI-specific checkpoints into existing security processes (change management, vendor risk intake) in coordination with process owners.

• Supports internal audit/regulatory information requests with technical evidence and analysis, under the Senior Manager’s direction.

• Assist in technical due diligence on third-party and vendor AI/ML tools, reviewing security documentation and flagging technical gaps.

• Works directly with Cybersecurity architects reviewing specific architecture designs for AI-related considerations.

• Monitors technical sources (research, advisories, vendor bulletins) on emerging AI threats and briefs findings to the team and Senior Manager.

• Support continuous refinement of AI cybersecurity documentation and processes.

• Challenge assumptions and validate security claims related to AI-enabled products and services

• Work closely with business, IT and other Cybersecurity teams as required.

• Contribute to AI-related security design patterns and reference architectures

• Stay current with emerging AI technologies, threats, and security practices

• Coordinate with Data Management, IT, Model Risk, Legal, and other functions as needed on control implementation and validation for AI systems.

• Contribute to AI cybersecurity awareness and training content for technical and non-technical.

Qualifications and Requirements:

• Bachelor's degree in Cyber-Security / Computer Science, or related field required.

• Postgraduate qualification in Cybersecurity, AI, or Data Science is an advantage.

• Around 10 years of experience with preferred 4 years in a relevant role.

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## Requirements

Bachelor's degree in Cyber-Security / Computer Science, or related field required. Postgraduate qualification in Cybersecurity, AI, or Data Science is an advantage. Around 10 years of experience with preferred 4 years in a relevant role.

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