Principal Security Engineer -DLP AI Security Automation

Citizens•Pittsburgh, PA

5d•$145,000 - $180,000•Hybrid

About The Position

Lead the design, deployment, and expansion of enterprise Data Loss Prevention capabilities with a focus on AI driven automation. Own DLP platform integration and strategy across cloud, endpoint, SaaS, and emerging AI environments, driving scalable, automated data protection that reduces risk and enables secure innovation.

Requirements

Bachelor’s degree or equivalent experience in Computer Science, Cybersecurity, or related field
8+ years experience in information security, including 4+ years in DLP, CASB, or cloud data protection engineering
Deep hands on expertise with DLP platforms including policy design, deployment, and operations
Experience integrating DLP and CASB with SIEM, SOAR, identity, and cloud platforms
Proven experience building automation or AI driven workflows for security operations
Strong knowledge of regulatory frameworks such as GLBA, PCI DSS, SOX, FFIEC, GDPR, CCPA
Strong analytical and troubleshooting skills across hybrid environments
Excellent communication skills translating technical concepts for varied audiences

Nice To Haves

Experience with agent based DLP automation and autonomous remediation capabilities
Familiarity with AI driven security tooling including AI risk and readiness platforms
Experience with additional data protection technologies
Scripting or automation experience such as Python, PowerShell, or KQL
Certifications such as CISSP, CCSP, CISM
Experience in financial services or other regulated industries
Experience with SIEM analytics, dashboards, and DLP telemetry correlation
Cloud security experience across AWS, Azure, or GCP

Responsibilities

Deploy and operationalize AI driven DLP automation, including agent based triage, contextual risk assessment, and automated remediation
Leverage AI powered classification, adaptive protection, and insider risk capabilities to build proactive data protection workflows
Design automation pipelines to reduce manual triage, lower false positives, and accelerate incident resolution
Evaluate and integrate emerging AI and ML capabilities to improve DLP effectiveness and operational efficiency
Lead end to end design, deployment, and optimization of DLP controls across CASB, Information Protection, and DSPM platforms
Architect unified DLP policies across endpoints, SaaS, IaaS, email, and network traffic within SSE environments
Define security requirements, architecture patterns, and integration blueprints for enterprise DLP solutions across cloud and hybrid environments
Develop and enforce DLP policies aligned to regulatory requirements such as GLBA, PCI DSS, SOX, GDPR
Continuously tune rules, classifiers, sensitive information types, and exception workflows to improve detection accuracy
Apply risk frameworks to identify and mitigate data protection gaps
Maintain documentation, runbooks, and audit evidence for compliance reviews
Serve as the technical lead for DLP AI automation initiatives
Partner across cybersecurity, risk, IT, and business teams to align data protection strategy
Mentor engineers and promote operational excellence and continuous learning
Oversee design, integration, testing, and delivery of data protection solutions
Present program insights and recommendations to senior leadership