As a Technology Support Lead within Consumer & Community Banking - Environment Experience team, you will play a key role in ensuring pre-production readiness across our large-scale financial platforms. You will coordinate database stand-in testing (including FDIC-related activities), provide test environment guidelines and consulting to support environment selection, and deliver tracking/reporting for mainframe test environment, batch cycle schedules. In addition, you will partner with engineering and stakeholder teams to plan, maintain, and publish enterprise change schedules, while supporting customer test account reservations and promoting strong Test Data Management practices across environments
Job responsibilities
- Lead teams of technologists that provide end-to-end application or infrastructure service delivery for the successful business operations of the firm
- Leads team adoption of enterprise-authorized AI capabilities within the work environment to improve incident triage speed and consistency (e.g., synthesizing operational signals into prioritized actions), with human-in-the-loop validation and appropriate handling of sensitive data.
- Execute policies and procedures that ensure operational stability and availability and lead incident, problem, and change management in support of full stack technology systems, applications, or infrastructure
- Monitor production environments for anomalies, address issues, drive evolution of utilization of standard observability tools, and escalate and communicate issues and solutions to business and technology stakeholders through incident resolution and service restoration
- Applies reuse-first, AI-assisted practices across incident/problem/change routines to identify recurring interruption patterns and validate remediation actions aligned to resiliency and security expectations.
- 5+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support production operations workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and ensuring outcomes align to operational, security, and auditability expectations.
- Experience managing applications or infrastructure in a large-scale technology environment both on premises and public cloud
- Proficient in observability and monitoring tools and techniques
- Experience executing on processes in scope of the Information Technology Infrastructure Library (ITIL) framework