Senior Manager - AI Security Product Owner (AI Security)

Location: Abu Dhabi, United Arab Emirates; onsite position

Company

Established in Abu Dhabi, the client is a regulated financial institution providing retail, wealth management, commercial, corporate finance, investment banking, and cash management services.

What you will do

• Set the strategy, roadmap, investment priorities, operating model, and lifecycle for AI security products and capabilities.
• Translate business objectives, threat intelligence, risk findings, and regulatory obligations into a prioritised AI security backlog.
• Define security-by-design and privacy-by-design requirements across AI models, applications, data pipelines, platforms, and supporting services.
• Establish governance gates for AI use-case approval, data suitability, model risk, testing, deployment, change control, and retirement.
• Lead control integration across MLOps, LLMOps, DevSecOps, cloud, on-premises, and hybrid environments.
• Direct threat modelling, architecture reviews, vulnerability management, penetration testing, monitoring, incident preparedness, vendor assessments, executive reporting, and remediation.

Requirements

• Substantial senior experience in cybersecurity, AI security, machine learning governance, technology risk, product ownership, or a related discipline.
• Strong understanding of AI and machine learning architectures, model lifecycles, data protection, application security, and AI attack techniques.
• Experience delivering security products, platforms, controls, or governance capabilities in complex enterprise environments.
• Knowledge of secure MLOps, LLMOps, DevSecOps, cloud security, identity and access management, secrets protection, monitoring, and secure software delivery.
• Practical knowledge of NIST CSF, NIST AI RMF, ISO 27001, ISO 42001, SOC 2, and relevant privacy requirements, including applicable UAE requirements and GDPR where relevant.
• Experience with product roadmaps, agile delivery, budgets, vendors, executive communication, residual risk assessment, and accountable remediation in banking, financial services, or another highly regulated industry.

Nice to have

• CISSP, CISM, CRISC, CCSP, or an equivalent security and risk certification.
• Additional certification in cloud security, AI governance, AI security, privacy, or agile product ownership.
• Experience with banking platforms, regulated data, cloud transformation, large-scale security programmes, or third-party technology ecosystems.

Culture & Benefits

• Ownership of a high-visibility AI security portfolio with enterprise-wide impact across regulated banking.
• Opportunity to shape responsible AI standards and governance practices supporting secure innovation.
• Direct engagement with senior decision-makers across product, cybersecurity, data, engineering, risk, compliance, and emerging technology.
• Opportunities for relevant certifications, industry learning, and deeper expertise in evolving AI security practices.
• Competitive senior-level reward package and resources for delivering a complex enterprise-wide mandate.