Quick summary
- Work type
- Remote
- Location
- Scottsdale, AZ
- Salary
- $175,100–$334,750 / yr
- Posted
- 3 days ago
- Closes
- Sep 30, 2026
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 85% of similar roles. Most pay $142,437–$222,000 — the shaded band above. At the midpoint, this role pays about $255k versus about $182k for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has 136 open roles on FindRole.
Listed pay typically runs $118,450–$284,280 across 131 roles with salary data.
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At a glance
TL;DR · Distinguished Engineer, Exposure Management
This senior technical leader role within Exposure Management focuses on transforming batch-oriented workflows into a continuous, real-time threat exposure management system using automation and machine learning. The candidate will design end-to-end data architecture, including canonical models and asset graphs, to unify telemetry sources for reliable downstream analytics. Key responsibilities include developing ML and GenAI capabilities for faster incident response and prioritizing threats based on attacker perspectives rather than just CVE lists. Essential skills involve extensive experience in cybersecurity, data architecture at scale, and leading large-scale automation projects. The role requires a deep understanding of CTEM lifecycle tools and defining outcome-based metrics for executive reporting. Preferred qualifications include hands-on GenAI application in security operations, expertise with attack-graph platforms, and healthcare-sector exposure management knowledge.
Skills
What you'll do
- Leads transformation of exposure management to continuous, near real-time operations.
- Designs and delivers automation, ML, and GenAI capabilities for exposure management.
- Owns end-to-end data architecture for unified exposure view across multiple estates.
- Defines outcome-based exposure metrics and executive reporting frameworks.
- Builds cross-team remediation operating model with automated mobilization layer.
What we're looking for
- Over 15 years of experience in technical roles with demonstrated ability to influence across technical and executive audiences.
- At least 8 years of data architecture experience at enterprise scale, owning end-to-end data architecture for complex platforms.
- 8+ years architecting large-scale automation and ML systems in production, integrating AI/ML into security workflows.
- Extensive cybersecurity background (5+ years) with expertise in vulnerability management and exposure management.
- Proven track record leading the transformation of security capabilities to continuous, automated operations at enterprise scale.
- Deep knowledge of CTEM lifecycle and supporting tool categories, defining outcome-based exposure metrics for executive reporting.
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