Data Loss Prevention- DLP & Microsoft Purview Specialist

Shrive Technologies LLC; Los Angeles (CA); Vor Ort; USD 110.000 - 170.000; Vollzeit

Zusammenfassung

Shrive Technologies LLC in Los Angeles, CA is seeking a Data Loss Prevention (DLP) and Microsoft Purview Specialist to lead a 12-week POC evaluating Purview, Varonis, and BigID across key governance pillars: data discovery, labeling, access governance, remediation, AI data risk governance, and reporting.

The engagement will culminate in a recommendations report with scoring and architecture guidance, plus two weeks for decommissioning the POC environment.

Qualifikationen

• POC engagement to evaluate data security and governance platforms across multiple environments.
• Assess discovery, classification, and labeling of sensitive data.
• Evaluate access governance and entitlement visibility.

Aufgaben

• Lead a 12-week POC and produce a recommendations report with scoring.
• Provide architecture guidance and a scoring matrix.
• Oversee decommissioning of the POC environment after completion.

Kenntnisse

Data security

Governance

DLP

Policy enforcement

Risk assessment

Tools

Microsoft Purview

Varonis

BigID

Jobbeschreibung

Role- Data Loss Prevention (DLP) & Microsoft Purview Specialist

Location- Los Angeles, CA (Onsite)

Job Description:

Proof of Concept (POC) engagement to evaluate three leading data security and governance platforms — Microsoft Purview, Varonis, and BigID — across five core governance pillars:

1. Data Classification & Labeling – Discover, classify, and label sensitive data across the enterprise.
2. Access Transparency & Governance – Understand who has access to what data, identify excessive permissions, and establish data ownership.
3. Policy-Driven Remediation – Automate enforcement, remediation workflows, and DLP controls.
4. AI Data Risk Governance – Govern data exposure through AI tools including Copilot, ChatGPT, and enterprise AI apps.
5. Continuous Governance & Reporting – Dashboards, compliance reporting, audit trails, and ongoing posture management.

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 additional 2 weeks for decommissioning of POC environment.

POC Objectives

1. Validate each platform's ability to discover, classify, and label sensitive data across Microsoft 365, on-premises file shares, Azure cloud, and SaaS applications.
2. Assess access governance capabilities including permission analytics, data ownership identification, excessive access detection, and entitlement visibility.
3. Evaluate policy-driven remediation workflows including automated enforcement, DLP integration, quarantining, and permission cleanup.
4. Test AI data risk governance features include DSPM for AI, Copilot data governance, AI policy enforcement, and AI interaction monitoring.
5. Measure reporting, dashboarding, and continuous governance capabilities including compliance posture, audit trails, and executive-level visibility.
6. Produce a comprehensive report on recommendations including a scoring matrix, and architecture recommendation (single-vendor, best-of-breed, or phased hybrid approach).