Associate Director – Cyber Threat Analytics

• 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.

• 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 the 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.
• Prior experience in the telecom sector.
• Familiarity with applying AI/ML techniques in cybersecurity, such as anomaly detection, threat hunting, behavioral analytics, or risk scoring.
• Experience using AI-enabled tools to improve detection, response, and automation workflows.
• Understanding of LLM safety, prompt engineering, or AI governance frameworks such as NIST AI RMF.
• Awareness of AI-driven risks, including adversarial ML, data poisoning, and model hallucination, and how to mitigate them in enterprise environments.
• Interest in leveraging GenAI for security operations, such as alert summarization, report drafting, or incident triage automation.

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.