Principal Security Engineer -DLP AI Security Automation
Citizens · United States ·
- Work mode
- Hybrid
- Seniority
- Principal
- Category
- Security
- Experience
- 4+ years
Citizens · United States ·
Principal Security Engineer, DLP AI Automation, Platform Integration
Location: Hybrid – 4 days onsite, 1 remote in one of the following hubs: Johnston, RI | Boston, MA | Iselin, NJ | Pittsburgh, PA | Manchester, NH
Summary
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.
Key Responsibilities
AI Automation and Intelligent Operations
• 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
DLP Architecture and Deployment
• 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
Policy Development, Tuning, and Compliance
• 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
Leadership and Collaboration
• 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
Required Qualifications
• 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
Preferred Qualifications
• 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
Core Skills
• DLP and data protection engineering, advanced, designs and operates enterprise DLP across cloud, endpoint, and network
• AI and automation in security, advanced, applies AI driven workflows to enhance detection and response
• Cloud security and CASB, advanced, secures SaaS and cloud environments
• Compliance and regulatory controls, advanced, aligns DLP strategy with regulatory requirements
• Cybersecurity strategy, advanced, connects data protection initiatives to business priorities
• Emerging technologies, advanced, evaluates and implements new AI and security capabilities
• Systems integration and management, advanced, integrates security platforms across the enterprise
• Incident and problem management, advanced, leads investigation and resolution of data security events
• Stakeholder engagement and communication, advanced, communicates risk and strategy to leadership
• Innovation and continuous improvement, advanced, drives automation and program optimization
Why Join Us
• Lead cutting edge AI driven data protection initiatives shaping how the organization secures sensitive data
• Work in a collaborative, innovation focused environment with strong executive visibility
• Directly influence secure adoption of AI and cloud technologies
• Competitive compensation, strong benefits, and support for professional growth
Pay Transparency
The salary range for this position is $175,000 to $250,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience.
Benefits
Comprehensive benefits include medical, dental, and vision coverage, retirement plans, parental leave, flexible work arrangements, education reimbursement, wellness programs, and generous paid time off exceeding local requirements.
Citizens Benefits Overview