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Director of AI-Driven Security Operations Center (SOC)

TALENTMATE · Abou Dabi

New
🇬🇧 English
AI Machine Learning Generative AI SIEM SOAR UEBA EDR/XDR Threat intelligence platforms Cloud-native security analytics Automation Detection engineering

Job description

About the role

We are seeking a visionary and operationally strong Director to lead our Security Operations Center (SOC) transformation, leveraging artificial intelligence, automation and advanced analytics to deliver next‑generation cyber defence.

Key responsibilities

  • Develop and execute an enterprise AI‑enabled SOC strategy and roadmap, driving the shift to an AI‑augmented/autonomous operating model.
  • Implement AI and machine‑learning capabilities for threat detection, behavioral analytics, anomaly detection, predictive risk scoring, automated triage and intelligent alert correlation.
  • Lead 24/7 SOC operations, overseeing analysts, threat hunters, detection engineers, incident responders and automation engineers.
  • Direct major cyber incident response activities, including ransomware, APTs, insider threats, cloud compromises and AI‑enabled attacks, using AI‑assisted response workflows and SOAR orchestration.
  • Develop defenses against AI‑generated phishing, deepfake social engineering, LLM abuse, adversarial AI threats and model manipulation.
  • Oversee AI‑integrated security technologies such as SIEM, SOAR, UEBA, EDR/XDR and threat‑intelligence platforms, and drive cloud‑native security analytics.
  • Lead SOC automation initiatives to reduce manual effort, improve operational efficiency and continuously optimise detection engineering and telemetry.
  • Guide AI‑assisted threat hunting and proactive cyber defence operations.

Required profile

  • Visionary leader with proven experience managing enterprise‑wide SOC operations and incident response.
  • Strong background in integrating AI, machine learning and automation into security workflows.
  • Demonstrated ability to drive large‑scale transformation projects and adopt emerging cybersecurity technologies.

Required skills

  • Artificial Intelligence (AI) and Machine Learning (ML) for security
  • Generative AI (GenAI) security copilots
  • Security Information and Event Management (SIEM)
  • Security Orchestration, Automation and Response (SOAR)
  • User and Entity Behaviour Analytics (UEBA)
  • Endpoint Detection and Response / Extended Detection and Response (EDR/XDR)
  • Threat intelligence platforms
  • Cloud‑native security analytics
  • Automation and orchestration engineering
  • Detection engineering and telemetry optimisation

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Published 8 hours ago

Expires 1 month from now

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Abou Dabi