Data Loss Prevention- DLP & Microsoft Purview Specialist

Shrive Technologies LLC• Los Angeles, CA
•$50 - $50•Onsite

About The Position

This role is a Proof of Concept (POC) engagement to evaluate three leading data security and governance platforms — Microsoft Purview, Varonis, and BigID — across five core governance pillars: Data Classification & Labeling, Access Transparency & Governance, Policy-Driven Remediation, AI Data Risk Governance, and Continuous Governance & Reporting. The POC will be executed over a 12-week period and will produce a report on recommendations with comparative scoring and architecture guidance to support an informed platform selection decision, along with an additional 2 weeks for decommissioning of the POC environment. The objectives include validating each platform's ability to discover, classify, and label sensitive data, assess access governance capabilities, evaluate policy-driven remediation workflows, test AI data risk governance features, measure reporting and dashboarding capabilities, and produce a comprehensive report with recommendations.

Requirements

  • Experience with Microsoft Purview
  • Experience with Varonis
  • Experience with BigID
  • Knowledge of data classification and labeling
  • Understanding of access transparency and governance
  • Familiarity with policy-driven remediation and DLP controls
  • Experience with AI data risk governance
  • Skills in continuous governance and reporting
  • Ability to conduct Proof of Concept (POC) engagements
  • Ability to produce comprehensive reports with recommendations, scoring matrices, and architecture guidance.

Responsibilities

  • Evaluate Microsoft Purview, Varonis, and BigID platforms across five core governance pillars.
  • Discover, classify, and label sensitive data across the enterprise.
  • Understand data access, identify excessive permissions, and establish data ownership.
  • Automate enforcement, remediation workflows, and DLP controls.
  • Govern data exposure through AI tools including Copilot, ChatGPT, and enterprise AI apps.
  • Manage dashboards, compliance reporting, audit trails, and ongoing posture management.
  • Validate platform capabilities in discovering, classifying, and labeling sensitive data across Microsoft 365, on-premises file shares, Azure cloud, and SaaS applications.
  • Assess access governance capabilities including permission analytics, data ownership identification, excessive access detection, and entitlement visibility.
  • Evaluate policy-driven remediation workflows including automated enforcement, DLP integration, quarantining, and permission cleanup.
  • Test AI data risk governance features including DSPM for AI, Copilot data governance, AI policy enforcement, and AI interaction monitoring.
  • Measure reporting, dashboarding, and continuous governance capabilities including compliance posture, audit trails, and executive-level visibility.
  • Produce a comprehensive report on recommendations including a scoring matrix, and architecture recommendation.
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