Senior Manager – AI Security Product Owner
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Key skills for this role
Role Overview
Own the strategy, design, and delivery of secure AI and ML products and platforms.
Ensure AI solutions align with cybersecurity standards, regulatory requirements, and enterprise risk frameworks while enabling innovation and business value.
Key Skills for This Role
Full Job Posting
Role Purpose
Own the strategy, design, and delivery of secure AI and ML products and platforms.
Ensure AI solutions align with cybersecurity standards, regulatory requirements, and enterprise risk frameworks while enabling innovation and business value.
AI Security Product Strategy & Ownership
- Define and own the product vision, roadmap, and lifecycle for AI security solutions.
- Identify secure AI use cases with business, technology, and cybersecurity teams and prioritize delivery.
- Embed security-by-design and privacy-by-design principles into AI and ML product development.
AI/ML Security & Risk Governance
- Establish and enforce AI security controls for model development, deployment, and monitoring.
- Assess data privacy, model bias, explainability, and regulatory risks.
- Align AI security with NIST AI RMF, ISO 42001, and enterprise cybersecurity standards.
Secure Product Delivery & Integration
- Lead secure AI product delivery across cloud, on-premises, and hybrid environments.
- Integrate security controls into MLOps and LLMOps pipelines with continuous validation.
- Drive secure SDLC practices, threat modeling, vulnerability management, and secure deployment.
Stakeholder & Vendor Management
- Act as the interface between Product, Engineering, Cybersecurity, Risk, Compliance, and external vendors.
- Manage third-party AI solution risk assessments and adherence to security and contractual obligations.
Governance, Compliance & Audit
- Ensure compliance with UAE regulations, GDPR, and internal policies.
- Support internal and external audits and track remediation of findings.
- Maintain AI risk registers, documentation, and governance reporting.
Monitoring & Incident Response
- Define AI monitoring for 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 & 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 ISO 27001, NIST, SOC 2, GDPR, NIST AI RMF, EU AI Act, or ISO 42001.
- Proven product ownership, agile delivery, and stakeholder management experience.
- Strong understanding of MLOps, LLM security, and the AI threat landscape.
Preferred Certifications
- CISSP, CISM, or CRISC certifications are preferred.
- AI security, AI governance, cloud security, and Scrum Product Owner certifications are preferred.
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