BI Platform Lead Infrastructure Engineer

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: OH
Posted: 37 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k

$100k most similar roles pay here $249k

This listing doesn't post a salary. Most similar roles pay $156,125–$205,323.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · BI Platform Lead Infrastructure Engineer

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As a BI Platform Lead Infrastructure Engineer within Corporate Technology, you will ensure the stability, performance, and continuous improvement of complex, multi-layered business intelligence and analytics platforms. You will manage infrastructure layers including authentication, connectivity, and data extracts while resolving high-impact incidents through root-cause analysis. Your daily work involves troubleshooting application and middleware issues, performing capacity assessments, and managing patch updates. You will also lead the integration of AI and large language model capabilities into support workflows to automate triage and knowledge drafting. Required skills include five years of experience in infrastructure engineering, Linux shell scripting, and IT Service Management processes. You must possess proficiency in enterprise tools like Cognos or Tableau, along with experience using authorized AI tools for infrastructure analysis while ensuring data security and auditability across the platform's technical environment.

Skills

Cognos Tableau Python Bash Linux Shell Scripting LLM AI Splunk Dynatrace ITSM SAML OAuth LDAP Log Analysis Infrastructure Engineering Automation

What you'll do

Troubleshoot complex platform issues across application, middleware, and infrastructure layers including connectivity and performance.
Perform operational tasks such as job monitoring, log analysis, capacity assessments, and patch management.
Resolve high-impact incidents by identifying root causes and implementing permanent fixes with engineering teams.
Provide technical support to BI users regarding access requests, report issues, and data governance best practices.
Automate repetitive support tasks using AI and LLM-enabled workflows to reduce manual toil.
Pilot and manage LLM-powered capabilities for incident summarization, knowledge drafting, and smart alert correlation.
Establish governance frameworks for safe and accurate AI usage in support operations.
Track and report on operational efficiency metrics like mean time to resolution and incident deflection rates.

What we're looking for

Formal training or certification on infrastructure engineering concepts and 5+ years of applied experience.
Experience in platform support or operations for enterprise applications within Business Intelligence, analytics, or data platforms.
Working knowledge of at least one enterprise BI tool, such as Cognos or Tableau, in an administration or support capacity.
Strong troubleshooting skills across logs, job failures, performance degradation, and access/authentication issues.
Foundational Linux skills including process and service management, log inspection, and shell scripting basics.
Experience working within IT Service Management (ITSM) processes and ticketing workflows for incident, problem, and change management.
Demonstrated experience using enterprise-authorized AI capabilities to support infrastructure engineering workflows with strong validation habits.
Ability to communicate effectively with both technical engineering teams and non-technical business stakeholders.
Cognos administration or support experience including scheduling, gateways, and content store management (preferred).
Tableau Server or Tableau Cloud administration experience (preferred).
Hands-on experience with AI or LLM tools for prompting, workflow integration, and automation (preferred).
Experience with monitoring and observability platforms such as Dynatrace or Splunk (preferred).
Scripting or automation experience using Python or Bash for operational tooling (preferred).
Familiarity with authentication and single sign-on concepts like SAML, OAuth, or LDAP (preferred).

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