AI Information Security Manager

Role Overview:

As Manager – AI Information Security, you would be responsible for designing and implementing advanced information security frameworks focused on AI systems. The role ensures the protection of sensitive data, compliance with regulations, and integration of security into AI development workflows. You'll collaborate with AI/ML engineering and data science teams to embed security practices and manage incidents, vulnerabilities, and third-party risks.

Key Responsibilities:

• Develop AI-specific information security strategies, policies, and governance frameworks.
• Embed risk management best practices and update organisation’s security posture with emerging threat intelligence.
• Implement AI incident response frameworks in line with organisation's information security standards.
• Guide AI/ML engineers and data scientists on secure coding, threat modeling, and secure data workflows.
• Ensure compliance with global data privacy laws and evolving security regulations.
• Lead training initiatives to increase security awareness among AI teams.
• Oversee deployment and optimization of security monitoring tools for continuous AI ecosystem surveillance.
• Manage penetration testing, threat & vulnerability assessments, and drive resilience programs.
• Report security metrics, incidents, and compliance activities to senior leadership and AI Department.
• Align security processes with audit, ethics, and compliance standards.
• Coordinate third-party security assessments on AI tools and platforms.

Qualifications & Experience:

• Education: Bachelor’s degree in Computer Science, IT, Cybersecurity, or related field. Information Security certifications are preferred.

• Experience:
  • Minimum of 4+ years in information or cybersecurity roles.
  • Demonstrated experience securing AI/ML-driven environments, ideally within telecom or similar sectors.
  • Proficiency in managing security incidents, risk assessments, vulnerabilities, and compliance audits.

• Skills:
  • Expertise in cybersecurity frameworks, AI/ML security, data privacy, and cloud platforms.
  • Proficient in vulnerability scanning, penetration testing, and incident response methodologies.
  • Strong stakeholder engagement and communication capabilities.