AI Security Product Strategy & Ownership
Define and own the end-to-end product vision, roadmap, and lifecycle for AI security solutions.
Collaborate with business, technology, and cybersecurity teams to identify secure AI use cases and prioritize delivery.
Embed security-by-design and privacy-by-design principles into AI/ML product development.
AI/ML Security & Risk Governance
Establish and enforce AI security controls covering model development, deployment, and monitoring.
Perform AI risk assessments addressing data privacy, model bias, explainability, and regulatory compliance.
Ensure alignment with frameworks such as NIST AI RMF, ISO 42001, and enterprise cybersecurity standards.
Secure Product Delivery & Integration
Lead secure AI product delivery across cloud, on-prem, and hybrid environments.
Integrate security controls into MLOps/LLMOps pipelines, ensuring continuous control validation.
Drive secure SDLC practices including threat modeling, vulnerability management, and secure deployment.
Stakeholder & Vendor Management
Act as the key interface between Product, Engineering, Cybersecurity, Risk, Compliance, and external vendors.
Manage third-party AI solution risk assessments and ensure adherence to security and contractual obligations.
Governance, Compliance & Audit
Ensure compliance with regulatory requirements (e.g., UAE regulations, GDPR, internal policies).
Support internal and external audits, ensuring timely closure of findings and remediation tracking.
Maintain AI risk registers, documentation, and governance reporting.
Monitoring, Incident Response & Continuous Improvement
Define monitoring frameworks for AI systems including logging, anomaly detection, and abuse prevention.
Lead AI-related incident response and root cause analysis.
Continuously enhance AI security posture based on emerging threats (e.g., OWASP LLM risks, adversarial AI).
Desired Candidate Profile
12+ years of experience in Cybersecurity, AI/ML Security, Product Ownership, or related domains.
Strong expertise in:
AI/ML security, governance, and risk management
Cloud security (AWS, Azure, GCP) and DevSecOps
GRC frameworks (ISO 27001, NIST, SOC2, GDPR)
Experience in AI governance frameworks (NIST AI RMF, EU AI Act, ISO 42001).
Proven experience in product ownership, agile delivery, and stakeholder management.
Strong understanding of MLOps, LLM security, and AI threat landscape.
Preferred Certifications
CISSP / CISM / CRISC
Certified AI Security / AI Governance certifications
Cloud security certifications (e.g., AWS Security Specialty, Azure Security)
Product certifications (e.g., Scrum Product Owner)
Skills
AI Security
Product Ownership
Risk Management