This role pays less than
68%
of similar roles. Most pay
$151,475–$203,125
— the shaded band above.
At the midpoint, this role pays about
$158k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
297 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 271 roles with salary data.
The Senior Data Security Engineer (Insider Risk Management – Engineering) joins the Insider Risk Management team to protect company intellectual property through robust security measures. In this role, you will create new DLP content, configure preventative controls for email, print, web, and removable media data movement, and analyze events to improve existing use cases. You will also implement dashboards, metrics, and reports while focusing on data at rest solutions to identify unprotected unstructured data within the corporate ecosystem. The position requires expertise in data loss prevention tools, data classification, and policy configuration across global regions. Key technical requirements include integrating technology solutions for security event correlation using Splunk and performing insider risk data mapping to identify and remediate critical asset data within cloud and network storage locations.
Create new DLP content to protect company intellectual property.
Configure preventative controls for email, print, web, and removable media data movement.
Analyze DLP events and escalations to customize and improve existing use cases.
Implement dashboards, metrics, and reports associated with identified data loss actions.
Deploy data at rest solutions to identify unprotected unstructured data within the corporate ecosystem.
Manage data classification and DLP policy configuration across multiple geographic regions.
Integrate technology solutions and ensure continuous data ingestion for security event correlation using Splunk.
Perform insider risk data mapping to identify and remediate critical asset data in cloud and network storage.
What we're looking for
Must possess a Bachelor's degree in Information Security, Cyber Security, or a related field and 5 years of experience in networking, data loss technologies, and enterprise engineering.
Alternatively, accept a Master's degree in Information Security, Cyber Security, or a related field and 6 months of experience in networking, data loss technologies, and enterprise engineering.
Must have at least 5 years (or 6 months with a Master's) of experience evaluating and reconfiguring data loss prevention (DLP) tools.
Must have at least 5 years (or 6 months with a Master's) of experience managing data classification and DLP policy configuration within a global organization.
Must have at least 5 years (or 6 months with a Master's) of experience integrating technology solutions for security event correlation using Splunk.
Must have at least 5 years (or 6 months with a Master's) of experience troubleshooting use cases and policy events to ensure data integrity.
Must have at least 5 years (or 6 months with a Master's) of experience performing insider risk data mapping and remediation of critical asset data in cloud and network storage.