JPMorgan Chase
Technology Support Lead - AI and Production Management Tools
Columbus, OH +1 · Full-time · Posted Sep 11, 2026
- Location
- Columbus, OH
Plano, TX - Experience
- 5+ years, or equivalent expertise, troubleshooting, resolving, and maintaining information technology services.
About the job
Leads the strategy, governance, adoption, and improvement of Production Management tools, including responsible use of AI to strengthen operational insight, efficiency, and service stability.
What you'll do
- Set and deliver tool strategy, roadmaps, governance, and continuous improvement plans; represent Production Management needs to enterprise tool and product owners.
- Lead evaluation, implementation, integration, adoption, and measurement of operational tools and approved AI capabilities, with appropriate validation and sensitive-data handling.
- Support production stability through incident, problem, change, and event management; monitor environments, address anomalies, and communicate through service restoration.
What they ask for
- 5+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services.
- Demonstrated experience using enterprise-authorized AI capabilities in production operations workflows, with strong validation habits and awareness of data sensitivity.
- Experience managing applications or infrastructure in a large-scale technology environment both on premises and public cloud.
- Proficiency with observability and monitoring tools and techniques; experience executing ITIL processes and managing incident, problem, change, and event practices.
Nice to have
- Hands-on experience with Claude Code, GitHub Copilot, NowAI, or comparable enterprise-authorized AI capabilities.
- Experience in Production Management, Site Reliability Engineering (SRE), Service Management, or Operational Excellence in a large enterprise.
Tools
Claude Code, GitHub Copilot, NowAI, ITIL, SRE
AI focus
Lead responsible adoption of enterprise-authorized AI for incident triage, operational analytics, automation, efficiency, risk management, and service stability, with human validation and appropriate data handling.
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