Senior Manager – AI Security Product Owner

Dicetek LLC; Abu Dhabi; On-site; AED 350,000 - 550,000; Full time

Job summary

Dicetek LLC in Abu Dhabi is seeking an experienced AI security product strategist to own the end-to-end vision, roadmap, and lifecycle of secure AI solutions for cloud, on-prem, and hybrid environments.

You will drive governance and risk management, align with NIST AI RMF and GDPR, and lead secure SDLC practices while coordinating with cybersecurity, risk, and compliance stakeholders and external vendors.

Qualifications

• 12+ years of experience in Cybersecurity, AI/ML Security, Product Ownership, or related domains.
• Experience in AI governance frameworks (NIST AI RMF, EU AI Act, ISO 42001).
• Strong expertise in governance, risk management, and regulatory compliance.

Responsibilities

• Define and own the AI security product strategy, vision, and lifecycle.
• Collaborate with Cybersecurity, Risk, Compliance, and Engineering teams on secure AI use cases.
• Lead secure product delivery across cloud, on-prem, and hybrid environments.

Skills

AI Security

Product Ownership

Risk Management

Governance

MLOps

LLM Security

Threat Modeling

Cloud Security

DevSecOps

GRC Frameworks

Tools

AWS

Azure

GCP

Job description

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

12+ years of experience in Cybersecurity, AI/ML Security, Product Ownership, or related domains.

Strong expertise in:AI/ML security, governance, and risk managementCloud security (AWS, Azure, GCP) and DevSecOpsGRC 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 CertificationsCISSP / CISM / CRISCCertified AI Security / AI Governance certificationsCloud security certifications (e.g., AWS Security Specialty, Azure Security)

Product certifications (e.g., Scrum Product Owner)SkillsAI SecurityProduct OwnershipRisk Management