JDA TSG is a company that equips major brands with specialized talent and expertise in business processes. They are seeking a Customer Engineer specialized in data security, compliance, and risk management within the Microsoft ecosystem to help enterprise customers design and implement modern compliance frameworks using Microsoft Purview.
Responsibilities:
- Advise enterprise customers on the deployment and configuration of Microsoft Purview Compliance solutions, including DLP, Information Protection, and Insider Risk Management
- Provide strategic guidance on sensitivity labels, auto-labeling policies, and Copilot data governance controls to safeguard sensitive content across Microsoft 365
- Lead design workshops focused on compliance readiness, regulatory alignment (e.g., HIPAA, GDPR), and risk mitigation strategies
- Help customers build end-to-end compliance frameworks using Communication Compliance, Compliance Manager, and Advanced eDiscovery
- Support the governance of Microsoft Copilot by aligning security, privacy, and compliance models for AI-powered productivity scenarios
- Partner with security, legal, and compliance stakeholders to define requirements, assess posture, and plan roadmaps
- Drive awareness of Microsoft’s compliance ecosystem, ensuring alignment with product capabilities, best practices, and licensing guidance
Requirements:
- Spanish Fluency Is Required For This Role
- Compliance & Security: Microsoft Purview (Compliance Portal), Information Protection, DLP, Insider Risk, Audit, eDiscovery
- Data Governance: Sensitivity Labels, auto-labeling, RBAC, Compliance Score
- AI & Copilot Readiness: Responsible AI governance, Copilot policy controls, M365 data boundaries
- Workload Integration: Teams, Exchange, SharePoint, OneDrive, Viva, Loop
- Regulatory Alignment: GDPR, HIPAA, ISO 27001, NIST frameworks
- Data Security Investigation: Protection of sensitive data, improvement of data security posture, and identification of top risks using Security Copilot
- Data Security Posture Management (DSPM) for AI: Leverage AI to identify, analyze, and mitigate risks in response to a data security incident
- Records Management: Automation of retention schedule for regulatory, legal, and business-critical records
- Data Loss Prevention: Protection of sensitive content as it's used and shared throughout the org, in the cloud, on-premises, and on devices
- Fluency in English and Spanish required