ZipRecruiter

Log In

1

Dlp Manager Jobs (NOW HIRING)

previous page

Showing results 41-60

All JobsDlp JobsDlp Manager Jobs

Dlp Manager information

See salary details

$27.5K

$81.7K

$137.5K

How much do dlp manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for dlp manager in the United States is $81,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Dlp Manager jobs?

For Dlp Manager jobs, the most frequently searched job titles are:

Infographic showing various Dlp Manager job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 76% Physical, 10% Hybrid, and 14% Remote job distribution, with an average salary of $81,677 per year, or $39.3 per hour.

Tech Risk - Associate - DLP Engineering - Dallas

Dallas, TX • On-site

Goldman Sachs, Inc.
Finance and Insurance • 10K+ employees
Learn more about Goldman Sachs, Inc.external

Full-time

Re-posted 7 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description


Role Overview
As a Data Loss Prevention (DLP) Engineer, you will play a pivotal role in protecting the firms most sensitive data. You will be responsible for the end-to-end lifecycle of our DLP program - from developing and turning detection rules to analyzing complex DLP events. Beyond traditional DLP operations, this role requires a strong automation mindset. You will leverage SOAR capabilities and ServiceNow to automate workflows, streamline case management and automate review activities across modern security stack (Microsoft Purview, Defender, Zscaler, Proofpoint) as well as internally developed systems.
Key Responsibilities
  • Design, implement and continuously tune DLP detection capabilities and policies across Microsoft Purview, Zscaler, Proofpoint to maximize true positives and minimize operational friction
  • Develop custom detection logic and integrations for internally developed systems
  • Perform regular testing and validation of existing DLP controls to identify coverage gaps and bypass techniques
  • Engineer automation workflows to assist DLP analysts, reducing manual review time and automating the triage of low-fidelity events
  • Collaborate directly with data owners, legal and compliance teams to translate business and regulatory requirements into technical enforcement rules
  • Evaluate and integrate additional DLP tools, and participate in proof-of-concept trials.

Required Technical Skills
  • DLP & Security Operations: Proven experience handling data loss incidents, insider threat investigations, or general security incident response. You need to know what a good alert looks like to build one
  • Core Stack Expertise: Deep, hands-on administrative experience with tools like Microsoft Purview, Zscaler, ServiceNow and Proofpoint
  • Automation & Scripting: Strong proficiency in tools like Python or PowerShell. You must be able to interact with REST APIs to pull logs, enrich alerts, and trigger automated response actions
  • Detection Engineering: Proficiency with regular expressions, exact data matching, indexed document matching and custom dictionary creation
  • System Architecture: Solid understanding of enterprise network routing, proxies, cloud access, and mail transport rules

What Sets You Apart
  • Experience integrating DLP tooling with SOAR platforms (e.g., Splunk SOAR, Cortex XSOAR, Tines) to build end-to-end automated review pipelines
  • Background in software engineering or DevSecOps, with an understanding of CI/CD pipelines and version control for managing detection as code
  • A "builder" mindset: you prefer to solve problems with code rather than relying solely on out-of-the-box vendor configurations
  • Applied AI/ML in Detection Engineering - experience moving beyond static rules by training, tuning and deploying ML classifiers for context-aware data discovery. Familiarity with Microsoft Purview's Trainable Classifiers or using custom Natural Language Processing models to identify sensitive data types that traditional regex approach misses
  • Agentic workflow automation: experience building next-generation, LLM-driven "agentic" workflows. You have moved beyond basic SOAR playbooks and built autonomous systems where AI agents gather contextual telemetry, interact directly with employees (e.g, via MS Teams bots, email, task management systems) to verify business intent, and pre-triage alerts before they are manually reviewed

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

View All Goldman Sachs Jobs

Apply