Data Protection & Identity Manager

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.

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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 

• 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. 

• 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 privilege access models and zero-trust principles across all identity types 

• Develop and maintain a 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 the AI agent identities to create a cohesive strategy. 

• 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) 

• 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 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. 

• Hands-on experience designing and operating identity governance programs, including non-human and service account identity management 

• Demonstrated expertise in 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, and automation pipelines, 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 technical risk into business impact 

• Excellent written and verbal communication skills, including executive-level reporting 

• Ability to manage multiple concurrent priorities and tasks in a fast-paced, high-growth environment 

• Self-starter with a continuous improvement mindset and a drive to challenge existing processes 

Working Schedule 

Monday–Friday, 40 hours per week. On-call rotation required for high-severity DLP or identity incidents outside standard hours. 

Experience & Qualifications 

• 8+ years of experience in Information Security, with a minimum of 3 years in identity governance, IAM, or data protection roles 

• Experience securing environments with significant AI/ML or automation workloads is strongly preferred 

• Hands-on experience with Microsoft Entra ID (Azure AD), Okta, SailPoint, or equivalent IGA platforms 

• Experience with SIEM, CASB, and endpoint DLP solutions in enterprise environments 

• Relevant certifications preferred: CISSP, CISM, CCSP, Microsoft SC-300, or equivalent 

• Bachelor's degree in Computer Science, Information Security, or a related field — or equivalent practical experience 

Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.