BI Platform Lead Infrastructure Engineer

Join a team where your infrastructure expertise directly shapes how thousands of employees access data and insights that drive business decisions across JPMorganChase.

As a BI Platform Lead Infrastructure Engineer at JPMorganChase within Corporate Technology, you will serve as a critical pillar of operational excellence for enterprise Business Intelligence and analytics platforms.

You will own the stability, performance, and continuous improvement of complex, multi-layered environments - bridging platform engineering, data teams, and business users to resolve incidents and prevent recurrence.

In this role, you will also be at the forefront of integrating AI and large language model (LLM) capabilities into support workflows, helping the team work smarter, reduce toil, and deliver a better experience for every user who depends on these platforms.

Job responsibilities


* Troubleshoot complex platform issues spanning application, middleware, and infrastructure layers - including authentication, connectivity, scheduling, data extracts, permissions, and performance bottlenecks


* Perform and oversee operational tasks including job and schedule monitoring, service restarts, log analysis, capacity assessments, and patch and upgrade support


* Partner with engineering, infrastructure, and data teams to resolve high-impact incidents and drive permanent, root-cause-based fixes


* Support Business Intelligence users with access requests, dataset and report issues, publishing, subscriptions, and dashboard troubleshooting - providing clear guidance on best practices for data refresh, report performance, and content governance


* Identify and implement opportunities to automate repetitive support tasks - including triage, routing, known-issue matching, and user self-service - using AI and LLM-enabled workflows


* Lead or contribute to pilots of LLM-powered support capabilities such as incident summarization, knowledge article drafting, smart alert correlation, and self-service assistants for common analytics questions


* Establish lightweight governance frameworks for AI usage in support operations, including prompt standards, accuracy evaluation, and safe handling of sensitive data


* Track and report on efficiency outcomes including mean time to resolution (MTTR) reduction, incident deflection rates, and repeat incident trends


* Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.


* Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills


* Formal training or certification on infrastructure engineer...