Senior Cybersecurity Incident Analyst
Warren, Michigan, United States of America Hybrid
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About the role
As a Senior Cyber Detection Incident Analyst, you will play a critical role in protecting General Motors' global enterprise by identifying, analyzing, and helping mitigate advanced cyber threats across cloud, identity, endpoint, network, application, and manufacturing ecosystems. You will serve as a senior technical leader within the Cyber Detection organization, driving detection engineering initiatives, leading complex investigations, and continuously improving the technologies, analytics, and processes used to identify malicious activity. This role combines deep technical expertise, threat-focused analysis, and cross-functional collaboration to enhance GM's overall cybersecurity posture.
What you'll bring
- Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience
- 5+ years of experience in cybersecurity with a focus on detection engineering, security operations, incident response, threat hunting, intrusion detection, or security event analysis
- Experience working with enterprise SIEM platforms and log-centric detection methodologies
- Experience developing and tuning security detections using correlation logic, behavioral analytics, and threat intelligence
- Strong understanding of endpoint security technologies and EDR platforms
- Experience investigating security events across endpoint, network, cloud, identity, and application environments
- Knowledge of attacker tactics, techniques, and procedures (TTPs) and familiarity with the MITRE ATT&CK framework
- Experience using scripting and query languages such as Python, PowerShell, or similar technologies
- Strong analytical, troubleshooting, and investigative skills
- Experience communicating technical findings to both technical and non-technical audiences
- Ability to lead investigations during cybersecurity incidents
- Demonstrated ability to collaborate effectively across multiple teams and stakeholders