Data Loss Prevention Engineer

About Voya India:
Voya India (earlier VFISLK) started out as a joint venture between U.S. financial services company Voya Financial and SLK, a software services company and is head quartered at Bangalore. As of Aug 2023, we are a wholly owned subsidiary of Voya Financial. We are a dynamic technology & business process transformation company that provides world-class technology & business process management services, with an emphasis on quality, speed & optimization driven through automation. We support and deliver innovative solutions to Voyas Retirement, Employee Benefits, and Investment Management businesses.

More information about us is available at: https://www.voyaindia.com We are hiring a P2 DLP analyst for the Data Loss prevention team. The analyst will be responsible for providing DLP support and engineering functions across modern enterprise DLP platforms, with a growing focus on automation and AI driven capabilities. The core work involves troubleshooting and resolving DLP issues and exceptions reported by end-users via email, along with policy configuration, administration, and building operational efficiencies through automation. The role will also support the evaluation and adoption of next-gen DLP technologies as part of our future roadmap. 1. DLP support & Issue Resolution

• Act as the point of contact for DLP-related user issues and queries reported via email/tickets.
• Investigate, troubleshoot, and resolve user issues to false positives, policy blocks, endpoint agent issues, and email quarantine.
• Ensure timely response and closure of user reported issues as per defined SLA’s and provide user education.

2. Policy Configuration & Management

• Configure, update, and fine-tune DLP policies, rules, and detection logic based on business requirements and user feedback.
• Handle DLP exception and allow-list requests after proper validation and approval.
• Support deployment of new and modified DLP policies.

3. AI & Automation Initiatives

• Leverage AI/ML capabilities within modern DLP platform for enhanced data classification and detection accuracy.
• Develop and implement automation for repetitive DLP task such as issue Triaging, exception handling, reporting, and policy tuning using scripting.
• Explore Gen AI use cases for SOP creation, user communication, and faster root cause analysis.

4. DLP administration & Future Roadmap

• Perform Day-to-day administration, health monitoring, and troubleshooting of the DLP platforms.
• Assist in evaluation, POC, and implementation of next-gen DLP technologies.
• Create and maintain documentation, SOP’s and knowledge base articles for AI assisted support.
• Provide input for metrics, trend analysis, and AI-driven reporting for management.

Nice to Have: Hands-on experience or good understanding of tools such as Proofpoint DLP, Microsoft Purview DLP, CrowdStrike Falcon Data Protection, and Zscaler DLP is highly desirable.