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Manager – GDS Cyber, Frontier AI Layered Defense Detection and Response
EYManager in Agentic AI SOC Transformation evolving traditional SOC into AI-driven model. Engaging enterprise clients and leading security operations transformation initiatives.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading SOC transformation programs with a focus on Agentic AI adoption, integrating SIEM, SOAR, and XDR platforms, and translating technical concepts into business outcomes. Proven ability to manage cross-functional teams and engage with client leadership to drive strategic initiatives and improve SOC efficiency.
Highest-signal resume keywords
SOC Transformation LeadershipSIEM ExpertiseSOAR ImplementationAI Use Case DevelopmentThreat Detection Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CybersecuritySOC EngineeringDetection & ResponseAI/LLM UnderstandingAutomation IntegrationAPI IntegrationOrchestration WorkflowsIncident ResponseMITRE ATT&CK FrameworkPlatform Implementations
Soft Skills
Stakeholder ManagementStrategic CommunicationCross-Functional Team Leadership
Tools & Technologies
SIEM PlatformsSOAR PlatformsXDR PlatformsAI Platforms
Industry Keywords
Agentic AISOC EfficiencyTransformation RoadmapsMaturity AssessmentsAlert Triage
Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- Lead SOC transformation programs with a focus on Agentic AI adoption
- Define target operating models for AI-enabled SOCs
- Conduct maturity assessments and develop transformation roadmaps
- Engage with client leadership to align on strategy, value, and outcomes
- Architect agentic AI-driven SOC solutions integrating SIEM, SOAR, XDR, and AI platforms
- Design and oversee implementation of AI agents for SOC use cases such as alert triage and prioritization
- Identify and implement high-impact AI use cases to improve SOC efficiency and detection quality
- Lead cross-functional teams of SOC engineers, detection engineers, and AI specialists
- Translate technical concepts into business outcomes and ROI-driven narratives.
Requirements
What you’ll need- 8–12 years in Cybersecurity/SOC Engineering/Detection & Response, with leadership experience
- Strong expertise in SIEM, SOAR, and XDR platforms
- Proven experience in SOC transformations, platform implementations, or large-scale deployments
- Hands-on or applied understanding of AI/LLM use cases in cybersecurity
- Experience integrating automation, APIs, and orchestration workflows in SOC environments
- Strong understanding of threat detection, incident response, and MITRE ATT&CK framework
- Ability to manage client stakeholders and drive strategic conversations.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events