Data Protection & Governance Lead — AI-Driven Security

Starkey

Eden Prairie (MN)

Hybrid

USD 86,000 - 117,000

Full time

36 hours ago
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Benefits offered by this job

Medical, dental & vision insurance
401(k) with company match
Paid time off & holidays

Job summary

Starkey is seeking a Data Protection & Governance Analyst to own DLP and information-protection controls in Microsoft Purview, while guiding enterprise SaaS security configurations across Microsoft 365. You will develop training programs, drive adoption, and lead AI-enabled employee enablement initiatives to scale policies organization-wide.

The role focuses on implementing data protection, labeling taxonomy, and change management, with emphasis on practical, secure, scalable governance across

Qualifications

  • 5+ years in information security or IT

Responsibilities

  • Own DLP policy design, config, tuning, and validation across email, SharePoint, OneDrive, Teams, and endpoints.
  • Administer security, compliance, and data-governance settings for large enterprise SaaS solutions with M365/Purview as primary platform.
  • Develop and deliver end-user training on labels, DLP behavior, and secure data handling; lead change management for new/updated controls.
  • Design, build, and maintain an internal AI assistant for security program questions and policy reference.
  • Produce recurring IT/security communications to raise awareness and guide users on productivity tool usage.

Skills

DLP policies
Microsoft Purview
Regulatory labeling
Regex & classifiers
Security governance
AI enablement
Change management
Security training

Education

Bachelor's degree in cybersecurity/CS/IT or related field

Tools

Microsoft 365/DCMS/Entra ID
Microsoft Purview Portal
Defender/Sentinel
ServiceNow or ITSM

Job description

Starkey is seeking a Data Protection & Governance Analyst to own DLP and information-protection controls in Microsoft Purview, while guiding enterprise SaaS security configurations across Microsoft 365. You will develop training programs, drive adoption, and lead AI-enabled employee enablement initiatives to scale policies organization-wide.

The role focuses on implementing data protection, labeling taxonomy, and change management, with emphasis on practical, secure, scalable governance across

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