Join our dynamic team to innovate and refine technology operations, impacting the core of our business services.
As a Technology Support Lead in Corporate Sector for Employee Platform business, you will play a leadership role in ensuring the operational stability, availability, and performance of our production services. Critical thinking while overseeing day-to-day maintenance of the firm's systems will be key and set you up for success as you navigate tasks related to identifying, troubleshooting, and resolving issues to ensure a seamless user experience.
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.
Required qualifications, capabilities, and skills
- Bachelor's degree in a technology-related field (or equivalent practical experience) plus 7+ years of broad, complex, large-scale cross-functional technology delivery/support experience (ideally in financial services/large enterprises), along with proven leadership/people management and strong coordination, prioritization, and activity management skills.
- 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