AVP DLP Engineer

• 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.

What are we looking for?

We are looking for a hands-on security engineering leader who thrives at the intersection of DLP, AI, and enterprise data protection. The ideal candidate is comfortable influencing architecture decisions, working with senior technical stakeholders, and driving innovation in a fast-paced, highly regulated environment-while always keeping the client and data trust at the center.

• 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).

Preferences:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience designing DLP or data-protection controls for AI/ML platforms or data pipelines.
• Strong experience with Regular Expression creation, tuning, and structured/unstructured data classification.
• Familiarity with AI data governance, data lineage, and sensitive-data detection techniques.
• Experience with tools such as Jira, Confluence, Microsoft O365.
• Strong foundation in networking, cloud infrastructure, and modern application architectures.

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

For further information about LPL, please visit www.lpl.com.

Join LPL Financial: Where Your Potential Meets Opportunity

At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation’s leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.

Why LPL?

• Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here!
• Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here!
• Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here!
• Impactful Work: Our size is just right for you to make a real impact. Learn more here!
• Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here!
• Community Focus: We care for our communities and encourage our employees to do the same. Learn more here!
• Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here!