Associate Director – Cyber Threat Analytics

AT&T AT&T · Telecom · Hyderabad, AP, India

This role leads a Cyber Threat Analytics team, focusing on engineering and operationalizing enterprise-scale security logging, monitoring, analytics, and automation capabilities. The primary focus is on building and enhancing these systems, with a secondary emphasis on applying AI/ML for threat detection and response. The role involves people leadership, platform engineering, and strategic initiatives within a cybersecurity context.

What you'd actually do

  1. Lead and support Cyber Threat Analytics teams working across AT&T's Cybersecurity and Technology organizations.
  2. Implement and enhance centralized logging and monitoring platforms at enterprise scale.
  3. Strengthen security posture through autonomous monitoring, rapid response, and advanced detection capabilities.
  4. Drive automation and orchestration initiatives for faster, more effective threat detection and response.
  5. Develop and mature analytics and AI/ML-driven approaches to identify sophisticated threats.

Skills

Required

  • Cybersecurity leadership
  • Enterprise-scale security logging and monitoring
  • Data engineering
  • Analytics
  • Automation and scripting
  • Software development lifecycle
  • Secure engineering practices
  • Team leadership
  • Communication skills
  • Collaboration skills
  • Problem-solving ability
  • Ethical judgment
  • Attention to detail
  • Sense of urgency

Nice to have

  • AI/ML techniques in cybersecurity (anomaly detection, threat hunting, behavioral analytics, risk scoring)
  • AI-enabled tools for security operations
  • LLM safety, prompt engineering, AI governance frameworks
  • Awareness of AI-driven risks (adversarial ML, data poisoning, model hallucination)
  • GenAI for security operations (alert summarization, report drafting, incident triage automation)
  • Industry certifications (CISSP, GIAC GCDA, GIAC GSLC)
  • Telecom sector experience

What the JD emphasized

  • 15+ years of experience in engineering, implementing, and administering security platforms, including enterprise logging, monitoring, data engineering, and analytics.
  • 10+ years of experience leading diverse technical teams.

Other signals

  • Develop and mature analytics and AI/ML-driven approaches to identify sophisticated threats.
  • Drive automation and orchestration initiatives for faster, more effective threat detection and response.
  • Implement and enhance centralized logging and monitoring platforms at enterprise scale.