Data Protection & Identity Manager
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Job Summary
The Data Protection & Identity Manager will own and advance Extreme's strategy for both identity 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 to the establishing control over ALL identities, enforcing DLP policies, protecting Extreme’s and stakeholder date, thus reducing the organization's exposure 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 security programs in a fast-moving AI-driven environment.
Key Responsibilities:
Identity Governance & Non-Human Identity (NHI) Management
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Design, implement, and operate a unified Identity Governance & Administration (IGA) program covering human, service account, and AI agent identities — with particular focus on controlling the rapidly growing population of AI agent identities, creating the appropriate governance structure and guardrails based on best practice.
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Establish lifecycle management processes for AI agent identities, including provisioning, entitlement review, and decommissioning, mitigating exposure to credential theft and malicious activity
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Define and enforce least privilege access models and zero-trust principles across all identity types
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Develop and maintain a real-time inventory of AI agent identities, their access scopes, and associated risk profiles
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Partner with AI platform and engineering teams to embed identity security controls into agent deployment pipelines
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Lead regular access certification and entitlement review cycles across the enterprise
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Integrate the process for human identity management with the AI agent identities to create a cohesive strategy.
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Be a thought leader within Extreme on how the adoption of AI agents can be utilized to add value across the enterprise
Data Loss Prevention (DLP)
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Own and mature the enterprise DLP strategy, policy framework, and toolset, ensuring coverage extends to AI-assisted and agent-driven data flows
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Drive full coverage of data tagging, classification, and sensitivity labelling across structured and unstructured data estates
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Define and enforce DLP policies for email, endpoint, cloud, and AI-assisted workflows
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Manage the DLP exception review process, ensuring risk-based approvals with appropriate audit trails
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Monitor DLP telemetry and investigate high-severity incidents in conjunction with the Security Operations Centre
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Report on DLP program effectiveness, 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.
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Hands-on experience designing and operating identity governance programs, including non-human and service account identity management
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Demonstrated expertise in enterprise DLP tooling (e.g., Microsoft Purview, Symantec DLP, Zscaler) and policy development
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Experience with AI/ML platform security, including securing LLM-based agents, APIs, and automation pipelines, ad MCP environments
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Strong understanding of zero-trust arc