Information Protection Analyst & Engineer
Quick Summary
Investigate, analyze, and manage security incidents generated from Data Loss Prevention (DLP) and other information protection tools, utilizing log analysis, data visualization,
Job Description
As a key member of the Information Technology Risk Management and Security (ITRM&S) organization, the successful candidate will act as a core member of the Information Protection team. This is a hybrid role featuring a dual focus on both operational DLP and DLP engineering to protect company data. The candidate will be responsible for managing and remediating instances of sensitive data leakage and insider risk, while concurrently configuring, tuning, and maintaining the information protection technologies that prevent them.
Responsibilities
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Investigate, analyze, and manage security incidents generated from Data Loss Prevention (DLP) and other information protection tools, utilizing log analysis, data visualization, and pattern analysis
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Design, build, test, and deploy new DLP policies, rules, and logic across network, endpoint, and cloud environments to address emerging risks and align with the company's data protection strategy
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Manage the full lifecycle of information protection incidents, from detection and escalation through to remediation, ensuring clear communication of status to stakeholders and management
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Support the maintenance, enhancement, and troubleshooting of the information protection technology stack to ensure high availability, accurate detection, and optimal platform performance
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Develop, implement, and maintain automation scripts and processes (e.g., using Python or PowerShell) to improve incident response workflows, reduce manual effort, and enhance reporting accuracy
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Collaborate closely with the Global Security Group, Legal, Human Resources, and other business units to respond to sensitive incidents in accordance with established corporate policies
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Continuously evaluate, improve, and challenge existing processes, procedures, and technical controls to adapt to a fast-moving and evolving security environment
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Create, modify, and review security dashboards and metrics reports to provide actionable insights into the organization’s overall data risk posture
Proven experience in an information security discipline, with a professional background that includes both active incident response and technical platform implementation
Strong, practical experience with Data Loss Prevention (DLP) concepts, methodologies, and enterprise-grade tools
Demonstrated ability to independently investigate and resolve complex security incidents (Tier 2/3 support levels), including performing in-depth root cause analysis
Hands-on experience with scripting or programming languages (e.g., Python, PowerShell) specifically applied to automation, data extraction, or system integration
Excellent analytical, problem-solving, and written/verbal communication skills, with the ability to convey technical risks to non-technical stakeholders
Strong foundational understanding of networking protocols (TCP/IP), operating system architectures, and cloud security principles
Ability to work effectively in a collaborative team environment, manage shifting priorities, and balance operational emergencies with project-based engineering tasks
Direct experience with specific DLP and security solutions for network, endpoint, and cloud environments (e.g., Microsoft 365 Purview, Zscaler, CrowdStrike)
Experience proactively creating, fine-tuning, and deploying detection policies within security platforms rather than just monitoring existing alerts
Proven ability to build strong, trusted relationships with cross-functional business and technology stakeholders
Up-to-date knowledge of the current global data protection landscape, privacy regulations, and emerging security threat trends
Relevant industry certifications such as CISSP, CISM, or vendor-specific security engineering certifications
What We Offer
~1 min readRequirements
~1 min readNice to Have
~1 min readLocation & Eligibility
Listing Details
- First seen
- October 3, 2026
- Last seen
- October 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- October 3, 2026
Signal breakdown
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