Senior Data Protection Engineer
Expert Technology Services
Job Summary (List Format):
- Implement and improve data protection processes, controls, and technologies in enterprise environments.
- Manage and execute data discovery, classification, labeling, access control, monitoring, retention, and data loss prevention (DLP) activities.
- Utilize and operate data protection, classification, governance, monitoring, and DLP tools (such as Microsoft Purview, Varonis, or similar platforms).
- Apply AI-enabled data protection capabilities, including data security posture management, sensitive data discovery and classification, access risk analysis, anomalous behavior detection, and automated remediation workflows.
- Enable secure adoption of generative AI tools using advanced data protection technologies.
- Translate policy, regulatory, privacy, and risk requirements into practical controls and operational processes.
- Exercise sound judgment when balancing data protection needs, business objectives, and operational practicality in regulated environments.
- Communicate effectively with both technical and non-technical stakeholders to influence practical data protection decisions.
- Collaborate with team members and stakeholders to ensure proper implementation of data protection programs.
- Demonstrate familiarity with data governance, privacy, or security frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC guidance).
- Required: Submission of candidates must include a LinkedIn profile.
- Implement and improve data protection processes, controls, and technologies in enterprise environments.
- Manage and execute data discovery, classification, labeling, access control, monitoring, retention, and data loss prevention (DLP) activities.
- Utilize and operate data protection, classification, governance, monitoring, and DLP tools (such as Microsoft Purview, Varonis, or similar platforms).
- Apply AI-enabled data protection capabilities, including data security posture management, sensitive data discovery and classification, access risk analysis, anomalous behavior detection, and automated remediation workflows.
- Enable secure adoption of generative AI tools using advanced data protection technologies.
- Translate policy, regulatory, privacy, and risk requirements into practical controls and operational processes.
- Exercise sound judgment when balancing data protection needs, business objectives, and operational practicality in regulated environments.
- Communicate effectively with both technical and non-technical stakeholders to influence practical data protection decisions.
- Collaborate with team members and stakeholders to ensure proper implementation of data protection programs.
- Demonstrate familiarity with data governance, privacy, or security frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC guidance).
- Required: Submission of candidates must include a LinkedIn profile.
Vacancy posted 1 day ago
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Chicago, IL19 days ago
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