Insider Risk & DLP Investigator

Humana; Fort Lauderdale (FL); Remote; USD 89,000 - 121,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) retirement savings plan

Paid time off and holidays

Job summary

Humana is actively seeking a Data Protection Security Investigations Analyst 2 to collaborate with EIP stakeholders and Humana teams. The role focuses on identifying high-risk insider activity, validating policy behavior, and coordinating investigations with Legal, Privacy, and HR.

It emphasizes accurate case documentation and evidence handling, while supporting enterprise data protection operations. The position requires a Bachelor’s degree or equivalent experience and 2+ years in data

Qualifications

• Bachelor’s degree or equivalent practical experience in a relevant field.
• 2+ years of technical experience in data security, DLP, insider risk, or related area.
• Experience triaging security alerts, documenting findings, and supporting investigations.

Responsibilities

• Analyze DLP alerts across email, endpoint, web, cloud to validate policy behavior and actions.
• Coordinate investigations with legal, privacy, compliance, HR, and business stakeholders.
• Maintain objective, evidence-based documentation for decisions.

Skills

DLP

Data protection

Insider risk

Incident response

Evidence handling

Education

Bachelor’s degree in Computer Science or related field

Equivalent practical experience

Tools

Microsoft Purview

Microsoft Defender for Cloud Apps

Splunk

CrowdStrike

Job description

Humana is actively seeking a Data Protection Security Investigations Analyst 2 to collaborate with EIP stakeholders and Humana teams. The role focuses on identifying high-risk insider activity, validating policy behavior, and coordinating investigations with Legal, Privacy, and HR.

It emphasizes accurate case documentation and evidence handling, while supporting enterprise data protection operations. The position requires a Bachelor’s degree or equivalent experience and 2+ years in data