AVP DLP Engineer

LPL Financial

. Design, implement, and maintain DLP controls across endpoints, email, SaaS, cloud platforms, APIs, and AI/ML data pipelines.

Posted 5/20/2026full-timeFort Mill • North Carolina, Texas • 🇺🇸 United StatesLead💰 $122,570 - $204,249 per yearWebsite

Tech Stack

Tools & technologies

CloudCyber SecurityPython

About the role

Key responsibilities & impact

Design, implement, and maintain DLP controls across endpoints, email, SaaS, cloud platforms, APIs, and AI/ML data pipelines.
Engineer DLP solutions that address AI-specific risks, including: Training-data leakage, Prompt and response data exposure, Model input/output inspection, Sensitive data misuse in AI experimentation and inference.
Partner with AI engineering teams to embed security-by-design controls into AI platforms and workflows.
Integrate DLP solutions with SIEM, CASB/CSPM, endpoint protection, cloud security, and AI observability platforms.
Develop automation and scripting to support policy enforcement, exception handling, redaction, and data classification across dynamic environments.
Evaluate emerging technologies for AI data protection, DSPM, and next-generation DLP capabilities.
Tune DLP policies to minimize false positives while maintaining strong data-exfiltration and misuse controls—especially in AI-driven workflows.
Assess existing DLP coverage and identify gaps across legacy systems, cloud platforms, AI tools, and third-party services.
Stay current with emerging threats, AI security patterns, and regulatory developments, recommending updates to DLP and AI data-protection strategy.
Partner with data owners, legal, privacy, compliance, AI teams, and business units to understand data flows and protection requirements.

Requirements

What you’ll need

8+ years of experience in data security, security engineering, or risk management.
5+ years of hands-on experience engineering enterprise DLP solutions (e.g., Proofpoint, Forcepoint, Microsoft Purview, Netskope).
5+ years delivering cybersecurity initiatives involving requirements definition, engineering, testing, and production implementation.
5+ years collaborating with engineering teams, business stakeholders, and program managers in complex enterprise environments.
4+ years of experience with scripting and automation (e.g., Python, PowerShell, Curl, Glue).

Benefits

Comp & perks

401K matching
health benefits
employee stock options
paid time off
volunteer time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data loss prevention (DLP)data securityrisk managementscriptingautomationAI data protectiondata classificationpolicy enforcementcloud securitycybersecurity

Soft Skills

collaborationcommunicationproblem-solvingstakeholder engagementteamworkanalytical thinkingadaptabilityattention to detailstrategic thinkingproject management