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.
