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Data Protection & Identity Manager

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Extremenetworks
Full Time position
Listed on 2026-08-26
Job specializations:
  • IT/Tech
    Information Security & Data Protection, Cybersecurity
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.

Job Summary

The Data Protection & Identity Manager will own and advance Extreme's strategy forbothidentity governance across both human and non-human (AI agent) identities,as well as the enterprise-wide Data Loss Prevention (DLP) program. This role is pivotal totheestablishing control over ALL identities, enforcing DLP policies,protecting Extreme’sand stakeholderdate,thusreducing the organization'sexposure to credential theft, data exfiltration, and malicious activity.

The successful candidate will bring deep technical expertise, strong cross-functional collaboration skills, and the leadership to build scalable securityprogramsin afar-moving AI-driven environment.

Key Responsibilities Identity Governance & Non-Human Identity (NHI) Management
  • Design, implement, andoperatea unified Identity Governance & Administration (IGA) programcovering human, service account, and AI agent identities —with particular focus on controlling the rapidly growing population of AI agent identities, creating the appropriate governancestructure andguardrails based on best practice.
  • Establish lifecycle management processes for AI agent identities, including provisioning, entitlement review, and decommissioning, mitigating exposure to credential theft and malicious activity
  • Define and enforce least privilegeaccess models and zero-trust principles across all identity types
  • Develop andmaintaina real-time inventory of AI agent identities, their access scopes, and associated risk profiles
  • Partner with AI platform and engineering teams to embed identity security controls into agent deployment pipelines
  • Lead regular access certification and entitlement review cycles across the enterprise
  • Integrate the process for human identity management with theAI agent identities to create a cohesive strategy.
  • Be a thought leader within Extreme on howthe adoption of AI agents can beutilizedto add value across the enterprise
Data Loss Prevention (DLP)
  • Own and mature the enterprise DLP strategy, policy framework, and toolset, ensuring coverage extends to AI-assisted and agent-driven data flows
  • Drive full coverage of data tagging, classification, and sensitivity labelling across structured and unstructured data estates
  • Define and enforce DLP policies for email, endpoint, cloud, and AI-assisted workflows
  • Manage the DLP exception review process, ensuring risk-based approvals with appropriate audit trails
  • Monitor DLP telemetry and investigate high-severity incidents in conjunction with the Security Operations Centre
  • Report on DLPprogrameffectiveness, policy coverage, and incident trends to senior leadership and relevant regulatory stakeholders
Job Requirements

The job requirements include but are not limited to the following.

  • Hands-on experience designing and operating identity governance programs, including non-human and service account identity management
  • Demonstratedexpertisein enterprise DLP tooling (e.g., Microsoft Purview, Symantec DLP, Zscaler) and policy development
  • Experience with AI/ML platform security, including securing LLM-based agents, APIs, andautomationpipelines, ad MCP environments
  • Strong understanding of zero-trust architecture, least-privilege principles, and privileged access management (PAM)
  • Familiarity with data classification frameworks and sensitivity labelling at enterprise scale
  • Ability to lead cross-functional initiatives and influence stakeholders without direct authority
  • Strong analytical and risk assessment skills; ability to translate…
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