Associate Director – Cyber Threat Analytics

AT&T

Experienced cybersecurity leader managing a team for Cyber Threat Analytics at AT&T. Focused on enterprise-scale security logging, monitoring, and advanced analytics in India.

Posted 5/12/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Lead and support Cyber Threat Analytics teams working across AT&T's Cybersecurity and Technology organizations.
Implement and enhance centralized logging and monitoring platforms at enterprise scale.
Strengthen security posture through autonomous monitoring, rapid response, and advanced detection capabilities.
Drive automation and orchestration initiatives for faster, more effective threat detection and response.
Develop and mature analytics and AI/ML-driven approaches to identify sophisticated threats.
Partner with security teams to improve incident response readiness and broader security practices.
Provide subject matter expertise to leadership and communicate complex security concepts to both technical and non-technical stakeholders.
Lead multiple projects and priorities with strong execution, attention to detail, and a sense of urgency.
Coach, mentor, and support team members in both technical and functional areas.
Conduct research, planning, and strategic analysis to improve processes, technologies, and defenses against future threats.

Requirements

What you’ll need

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.
Strong understanding of the software development lifecycle and secure engineering practices.
Hands-on experience with automation and scripting.
Deep knowledge of security auditing and logging standards in large, complex environments.
Excellent written and verbal communication skills, including the ability to present to senior leaders.
Strong collaboration skills and ability to work effectively across teams with varied backgrounds and expertise.
High degree of ownership, initiative, creativity, and problem-solving ability.
Demonstrated ethical judgment, attention to detail, and sense of urgency.
Bachelor's or master's degree in Computer Science, Cyber Security, Engineering, or a related technical field.
Industry certifications such as CISSP, GIAC GCDA, or GIAC GSLC preferred.
Prior experience in the telecom sector preferred.
Familiarity with applying AI/ML techniques in cybersecurity, such as anomaly detection, threat hunting, behavioral analytics, or risk scoring preferred.
Experience using AI-enabled tools to improve detection, response, and automation workflows preferred.
Understanding of LLM safety, prompt engineering, or AI governance frameworks such as NIST AI RMF preferred.
Awareness of AI-driven risks, including adversarial ML, data poisoning, and model hallucination, and how to mitigate them in enterprise environments preferred.
Interest in leveraging GenAI for security operations, such as alert summarization, report drafting, or incident triage automation preferred.

Benefits

Comp & perks

Reasonable accommodations available for qualified individuals with disabilities during the application process
Equal opportunity employer

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cyber threat analyticscentralized loggingmonitoring platformsautomationscriptingsecurity auditingdata engineeringAI/ML techniquesanomaly detectionincident response

Soft Skills

communication skillscollaboration skillsproblem-solvingattention to detailcreativityownershipinitiativementoringleadershipexecution

Certifications

CISSPGIAC GCDAGIAC GSLC