Senior Manager – AI Security Product Owner

Role Purpose

AI Security Product Strategy and 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 and 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 NIST AI RMF, ISO 42001, and enterprise cybersecurity standards.

Secure Product Delivery and Integration

• Lead secure AI product delivery across cloud, on-premises, and hybrid environments.
• Integrate security controls into MLOps and LLMOps pipelines with continuous control validation.
• Drive secure SDLC practices including threat modeling, vulnerability management, and secure deployment.

Stakeholder and Vendor Management

• Interface with Product, Engineering, Cybersecurity, Risk, Compliance, and external vendors.
• Manage third-party AI solution risk assessments and adherence to security and contractual obligations.

Governance, Compliance and Audit

• Ensure compliance with UAE regulations, GDPR, and internal policies.
• Support internal and external audits, including closure of findings and remediation tracking.
• Maintain AI risk registers, documentation, and governance reporting.

Monitoring and Incident Response

• Define monitoring frameworks for AI systems, including logging, anomaly detection, and abuse prevention.
• Lead AI-related incident response and root cause analysis.
• Improve AI security posture against emerging threats such as OWASP LLM risks and adversarial AI.

Knowledge, Skills and Experience

• 12+ years of experience in cybersecurity, AI/ML security, product ownership, or related domains.
• Strong expertise in AI/ML security, governance, risk management, cloud security, and DevSecOps.
• Experience with GRC and AI governance frameworks, product ownership, agile delivery, and stakeholder management.
• Strong understanding of MLOps, LLM security, and the AI threat landscape.

Preferred Certifications

• CISSP, CISM, or CRISC certifications are preferred.
• Certified AI security, AI governance, cloud security, or product certifications are preferred.