Director - SOC Monitoring CPX

Overview

Director, Security Operations Center (SOC) – AI-Driven Cyber Defense Operations

Role Summary

We are seeking a visionary and operationally strong Director of Security Operations Center (SOC) to lead next-generation cyber defense operations powered by Artificial Intelligence (AI), automation, and advanced analytics.

This role is responsible for overseeing enterprise-wide security monitoring, threat detection, incident response, cyber resilience, and SOC transformation initiatives, with a strong emphasis on integrating AI-driven security operations, Generative AI (GenAI), machine learning (ML), and autonomous response capabilities into the SOC ecosystem.

The Director will lead the evolution from a traditional SOC to an AI-Augmented SOC capable of predictive threat detection, intelligent automation, behavioral analytics, and accelerated incident response.

Responsibilities

Key Responsibilities

AI-Driven Security Operations Leadership

• Develop and execute the enterprise AI-enabled SOC strategy and roadmap.
• Lead transformation initiatives toward an AI-Augmented / Autonomous SOC operating model.
• Implement AI and ML capabilities for:
• Threat detection
• Behavioral analytics
• Anomaly detection
• Predictive risk scoring
• Automated triage
• Intelligent alert correlation
• Drive adoption of Generative AI (GenAI) security copilots to improve analyst productivity and incident investigation efficiency.
• Establish governance, risk controls, and ethical usage standards for AI within cyber operations.
• Evaluate emerging AI cybersecurity technologies and lead strategic adoption initiatives.
  

• Lead 24x7 enterprise SOC operations across detection, investigation, response, recovery, and escalation management.
• Oversee SOC 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.
• Ensure rapid containment and remediation through AI-assisted response workflows and SOAR orchestration.
  
  

• Develop capabilities to detect and mitigate:
• AI-generated phishing attacks
• Deepfake-enabled social engineering
• LLM abuse and prompt injection attacks
• Adversarial AI threats
• AI model exploitation
• Data poisoning and model manipulation risks
• Collaborate with AI/ML engineering teams to secure enterprise AI systems and models.
• Establish monitoring and security controls for enterprise GenAI platforms and AI-powered applications.
  

• Oversee AI-integrated security technologies including:
• SIEM
• SOAR
• UEBA
• EDR/XDR
• AI threat intelligence platforms
• Cloud-native security analytics
• Lead SOC automation initiatives to reduce manual effort and improve operational efficiency.
• Drive continuous improvement of detection engineering and telemetry optimization.
  

• Lead AI-assisted threat hunting and proactive cyber defense operations.
• Integrate threat intelligence feeds with AI analytics platforms for predictive detection capabilities.
• Leverage MITRE ATT&CK and behavioral analytics to identify emerging attack patterns.
  
  

• Bachelor’s degree in Cybersecurity, Computer Science, AI, Data Science, or related field.
• 10+ years of cybersecurity experience with 5+ years leading enterprise SOC operations.
• Proven experience implementing AI/ML technologies in cybersecurity operations environments.
• Strong expertise in:
• AI-driven SOC platforms
• SIEM/SOAR
• EDR/XDR
• Threat intelligence
• Cloud security
• Detection engineering
  

• SIEM: Splunk, Microsoft Sentinel, QRadar
• SOAR: Cortex XSOAR, Splunk SOAR
• EDR/XDR: CrowdStrike, SentinelOne, Defender
• AI Security Platforms & Security Copilots
• UEBA & Behavioral Analytics
• Cloud Security: AWS, Azure, GCP
• Threat Intelligence Platforms
• Python, automation scripting, APIs
• Machine Learning & AI analytics frameworks
• MITRE ATT&CK
• Experience with security automation and orchestration.
• Knowledge of AI security risks, adversarial AI, and GenAI security considerations.
• Strong leadership, crisis management, and executive communication skills.
  
  

• Master’s degree in Cybersecurity, Artificial Intelligence, Machine Learning, or Information Assurance.
• Industry certifications such as:
• CISSP
• CISM
• GIAC
• GCIH
• GCFA
• Microsoft Security certifications
• Cloud security certifications
• Experience with:
• GenAI security governance
• LLM security
• Autonomous SOC technologies
• AI copilots for SecOps
• Cloud-native SOC architectures