Director - SOC Monitoring (CPX)
Skills
About This Role
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.
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.
SOC Operations & Incident Response
- 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.
AI Security & Emerging Threat Defense
- 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.
Security Engineering & Automation
- 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.
Threat Intelligence & Threat Hunting
- 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.
Qualifications
- 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
• 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.
Preferred Qualifications
- 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
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