AI Cybersecurity Risk Senior Manager

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. Show more Show less

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.

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.