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Data Loss Protection; DLP Specialist

Job in New York, New York County, New York, 10261, USA
Listing for: Milbank LLP
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Information Security & Data Protection, Cybersecurity
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Data Loss Protection (DLP) Specialist
Location: New York

The Data Security Specialist is responsible for protecting the confidentiality, integrity, and availability of the firm’s data assets across cloud and on-premises environments. This role designs, implements, and maintains controls that safeguard sensitive client, legal, and corporate information against unauthorized access, loss, and exfiltration — including emerging risks from generative AI and large language model (LLM) usage.

Responsibilities Data Protection & Governance
  • Design and operate data loss prevention (DLP) policies across email, endpoints, and cloud services (Microsoft Purview, M365, Azure).
  • Implement and tune data classification, labeling, and encryption frameworks aligned with firm policy and regulatory requirements.
  • Manage rights management (IRM/MIP), tokenization, and key management solutions.
  • Design and enforce AI data leakage prevention controls — governing how sensitive data is used with Microsoft 365 Copilot, ChatGPT Enterprise, and other GenAI/LLM tools — including prompt and response monitoring, sensitivity-label enforcement, and blocking unsanctioned AI services.
Monitoring & Incident Response
  • Investigate data security incidents, perform root-cause analysis, lead containment and remediation.
  • Monitor SIEM, CASB, and DLP alerts; triage events and escalate per the incident response plan.
  • Partner with the SOC and forensics teams on insider threat and exfiltration investigations.
  • Detect and respond to AI-related data exposure events, including sensitive data submitted to public LLMs, prompt injection, and shadow AI usage.
Risk & Compliance
  • Support compliance with GDPR, CCPA, NYDFS Part 500, SOC 2, and client security obligations.
  • Conduct data risk assessments for new applications, vendors, and AI/LLM use cases.
  • Maintain evidence and artifacts for internal and external audits.
  • Contribute to the firm’s AI governance program, aligning controls with frameworks such as NIST AI RMF and ISO/IEC 42001.
Engineering & Automation
  • Develop scripts and automations (Power Shell, Python, KQL) to scale data security operations.
  • Integrate data security controls into CI/CD, SaaS onboarding, and identity workflows.
  • Maintain documentation, runbooks, and control mappings.
Compensation

The anticipated base salary range offered for this role will be between $140,000 to 160,000 and represents the firm’s good faith and reasonable estimate of the range of possible base compensation. Actual base compensation will be dependent upon several factors, including but not limited to the candidate’s relevant experience, performance, qualifications, degrees, and location, well as the needs of the firm.

Qualifications
  • Bachelor’s degree in computer science, Information Security, or related field (equivalent experience accepted).
  • 4+ years in information security with at least 2 years focused on data protection, DLP, or data governance.
  • In-depth, hands-on experience with a range of enterprise DLP and rights management platforms, with deep expertise in the Microsoft M365 stack — including Microsoft Purview DLP (Exchange Online, SharePoint, One Drive, Teams, and Endpoint DLP), Microsoft Purview Information Protection (MIP) sensitivity labels, Azure Information Protection (AIP), Azure Rights Management Services (Azure RMS), Double Key Encryption (DKE), and Customer Key. Experience tuning policies, authoring custom sensitive information types (SITs), trainable classifiers, and integrating Purview with Defender for Cloud Apps (MCAS) is required.
  • Experience with Microsoft Purview Insider Risk Management, Communication Compliance, eDiscovery (Premium), and Data Lifecycle Management.
  • Demonstrated experience with AI data leakage prevention — protecting sensitive data from exposure to generative AI and LLM services. This includes hands-on work with Microsoft Purview controls for Microsoft 365 Copilot (DSPM for AI / AI Hub, Copilot interaction auditing, sensitivity-label enforcement on Copilot responses), CASB/SSE-based GenAI app discovery and blocking (Defender for Cloud Apps, Netskope, Zscaler), prompt and response inspection, and policies preventing the upload or pasting of sensitive content into public AI tools (ChatGPT, Gemini, Claude, etc.).
  • W…
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