Senior AI Security Product Leader - Banking & Risk

Socium - Teams Done Differently; Abu Dhabi; On-site; AED 300,000 - 450,000; Full time

Job summary

Socium - Teams Done Differently seeks a Senior Manager – AI Security Product Owner to lead strategy, governance, and secure delivery of AI/ML products within a major UAE banking organization. The role requires bridging AI product strategy with cybersecurity, risk, and compliance.

You will own the end-to-end AI security roadmap, embed security-by-design, govern AI risk, and ensure alignment with NIST AI RMF, ISO 27001, and GDPR-like controls while delivering secure MLOps across cloud and on-prem

Qualifications

• 12+ years of professional experience across Cybersecurity, AI/ML Security, Technology Risk, Product Ownership, or closely related domains.
• Strong hands-on understanding of AI/ML security, Generative AI security, AI governance, and AI risk management.
• Proven experience in Product Ownership / Product Management, including product strategy, roadmap ownership, prioritization, Agile delivery, and stakeholder management.
• Strong understanding of LLM security, AI threat modelling, adversarial AI, and emerging AI security risks.
• Experience securing MLOps / LLMOps pipelines and AI/ML development and deployment lifecycles.
• Strong experience with cloud security across Azure, AWS, and/or GCP.
• Strong understanding of DevSecOps, secure SDLC, vulnerability management, threat modelling, and security architecture.
• Experience with AI governance frameworks such as NIST AI RMF and ISO/IEC 42001.
• Strong knowledge of cybersecurity and risk frameworks including ISO 27001, NIST, SOC 2, GDPR, and related regulatory requirements.
• Experience conducting security and risk assessments for AI platforms, AI models, Generative AI solutions, and third-party AI technologies.
• Strong stakeholder management skills with the ability to work across senior business, technology, cybersecurity, risk, compliance, and engineering teams.
• Experience working within banking, financial services, or other highly regulated enterprise environments is highly preferred.
• Ability to work full onsite in the UAE.

Responsibilities

• Define and own the end-to-end product vision, strategy, roadmap, prioritization, and lifecycle for AI security products and capabilities.
• Partner with AI/ML engineering, cybersecurity, technology, risk, compliance, and business teams to identify and prioritize secure AI use cases.
• Embed security-by-design and privacy-by-design principles throughout AI/ML product development and deployment.
• Establish and govern AI security controls covering model development, deployment, integration, monitoring, and ongoing operations.
• Conduct and oversee AI/ML security and risk assessments, including data privacy, model risk, bias, explainability, misuse, and regulatory considerations.
• Drive alignment with AI governance and security frameworks including NIST AI RMF, ISO/IEC 42001, EU AI Act, ISO 27001, and relevant enterprise security standards.
• Lead secure AI product delivery across cloud, on-premises, and hybrid environments.
• Integrate cybersecurity controls into MLOps and LLMOps pipelines, ensuring continuous security and control validation.
• Drive secure SDLC practices including AI threat modelling, vulnerability management, secure deployment, testing, and remediation.
• Define security requirements for Generative AI, LLMs, RAG solutions, AI agents, APIs, and other emerging AI technologies.
• Address emerging AI security threats including prompt injection, data leakage, model manipulation, adversarial AI, insecure output handling, and OWASP LLM risks.
• Manage third-party AI solution and vendor security assessments, ensuring compliance with security, risk, privacy, and contractual requirements.
• Maintain AI risk registers, governance documentation, security reporting, audit evidence, and remediation tracking.
• Define monitoring frameworks for AI systems covering logging, anomaly detection, abuse prevention, security events, and incident response.
• Support and lead AI-related security incident investigations, root cause analysis, and continuous security improvements.
• Act as a key interface between Product, AI/ML Engineering, Cybersecurity, Risk, Compliance, Architecture, and external vendors.

Skills

AI Security

AI Governance

Product Ownership

Cloud Security

DevSecOps

Risk Management

LLM Security

AI Threat Modelling

Education

CISSP

CISM

CRISC

Bachelor's degree in a relevant field

Tools

Azure

AWS

GCP

MLOps

Job description

Socium - Teams Done Differently seeks a Senior Manager – AI Security Product Owner to lead strategy, governance, and secure delivery of AI/ML products within a major UAE banking organization. The role requires bridging AI product strategy with cybersecurity, risk, and compliance.

You will own the end-to-end AI security roadmap, embed security-by-design, govern AI risk, and ensure alignment with NIST AI RMF, ISO 27001, and GDPR-like controls while delivering secure MLOps across cloud and on-prem