Global Digital Forensics & eDiscovery Leader

KLA; Milpitas (CA); On-site; USD 174,300 - 296,300; Full time

Benefits offered by this job

Full benefits package

Job summary

KLA in Milpitas, CA, seeks a senior leader to head digital forensics, eDiscovery, and information governance within the Legal and Compliance Organization. You will mentor a global team, drive defensible investigations, and collaborate with Cybersecurity, IT, and HR.

Responsibilities include managing data collection, preservation, and review across endpoints, cloud, and AI-related evidence, ensuring privilege and privacy controls, while delivering timely, business-relevant findings to

Qualifications

• Bachelor's degree in Digital Forensics, Computer Science, or related field.
• 5–7 years in digital forensics, investigations, eDiscovery or incident response.
• Experience leading a global team and coordinating across regions.

Responsibilities

• Lead global digital forensics and eDiscovery team, including internal analysts, contractors, and vendors.
• Oversee defensible analysis, preservation, data collection, review support, and reporting for investigations.
• Analyze evidence from endpoints, cloud services, SIEM logs, and AI prompts with proper privilege and privacy controls.
• Manage imaging, remote collections, and chain-of-custody compliant with law and policy.
• Improve eDiscovery and ESI preservation processes and defensible retention decisions.
• Partner with Cybersecurity and IT on incident response and insider risk investigations.

Skills

Team leadership

Project management

Stakeholder coordination

Communication skills

Education

Bachelor's degree in Digital Forensics

Tools

Microsoft 365 Purview

SIEM

Intune/MDM

eDiscovery platforms

Job description

KLA in Milpitas, CA, seeks a senior leader to head digital forensics, eDiscovery, and information governance within the Legal and Compliance Organization. You will mentor a global team, drive defensible investigations, and collaborate with Cybersecurity, IT, and HR.

Responsibilities include managing data collection, preservation, and review across endpoints, cloud, and AI-related evidence, ensuring privilege and privacy controls, while delivering timely, business-relevant findings to