Global Insider Threat Data Loss Prevention Lead at TransUnion
What We'll BringAt TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll BringThe DLP manager will lead small global team of cybersecurity professionals, and oversee all aspects of Data Loss Prevention at TransUnion. The incumbent will play a key role in developing and utilizing CASB solutions for data loss prevention, and inform the strategic direction of the global DLP program via standard and policy development. The DLP Manager will be responsible for leading the orchestration of the application of security controls, and utilization of tools and techniques to detect and gather information. The GITP DLP Lead will direct the development and utilization of CASB solutions for data loss prevention.
Collaborate with CASB and other Cloud technical support and cybersecurity engineers to best configure DLP tools in order to detect, monitor and prevent data loss
Lead analysis, escalation, and assistance in remediation of critical information security incidents
Support all GITP analytic efforts in order to identify, monitor or remediate Tactics, Techniques, and Procedures used by potential or actual insider threat as well as associates who unintentionally risk company internal data and information technology
Impact You'll MakeProvide actionable insights, guidance and DLP subject matter expertise to the GITP Director and UEAB Analytics Lead
Create and maintain comprehensive DLP policy rules that broadly cover sensitive data as well risky behavior across the entire company, as well as specific rules to focus on unique data sets in each geographic location
Direct full Data-at-Rest operations to include remediation of discovered infracting data