CyrusOne

RCA Quality Specialist

Join CyrusOne in Dallas as an RCA Quality Specialist. Lead global RCA processes using ServiceNow, ensuring incident management quality. 3-5+ years required. Remote work options.

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Direct Hire
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Mid-Level
ServiceNow Role Type:
ServiceNow Modules:
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IT Service Management
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Incident Management
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Problem Management
ServiceNow Certifications (nice to have):

Job description

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Posted on:
 
May 7, 2025

We are looking for an experienced RCA Quality Specialist to lead the global Root Cause Analysis (RCA) and Corrective Action (CA) process within the Incident Management Program. The successful candidate will be responsible for ensuring consistency, technical quality, and learning effectiveness across all critical incidents.

Requirements

  • 3-5+ years in incident management, data center operations, engineering, or related field
  • Hands-on experience performing or reviewing RCAs using industry methodologies (5 Whys, Fishbone, Fault Tree, etc.)
  • Familiarity with HFACS or similar human error frameworks
  • Strong writing, documentation, and technical communication skills
  • Proficient in using Excel, ServiceNow, PowerPoint, Power BI for trend reporting and analysis
  • Able to travel globally on short notice (~10%)
  • Certification in Six Sigma, Lean, or Root Cause Analysis methodology
  • Experience with compliance frameworks (ISO 22301, ISO 27001, SOC 2)
  • Familiarity with ServiceNow or other incident tracking systems
  • Technical writing or investigative journalism background

Benefits

  • Remote work is supported two days a week
  • Comprehensive health, dental, and vision insurance plans
  • Life and disability insurance
  • Access to mental health resources and employee assistance program
  • Competitive pay, performance bonus, 401(k) retirement plan with company match
  • Generous paid time off and holidays, parental leave

Requirements Summary

3-5+ years of experience in incident management, data center operations, or related field; hands-on experience with RCAs; familiarity with HFACS or similar human error frameworks