Engineering Intelligence Lead Chicago - IL - Illinois

Please strictly adhere to the following resume naming convention:

Bachelor s degree in

computer science,

Information Systems, or

related field (or equivalent

experience). 16 -Sep -26 24 Months

Work Location (State, City

and Zip) Base salary range (Min. & Max. to be mentioned) Experience Range:

7601 France Ave S, Ste 500

Minneapolis, MN 55435-

REMOTE

142- 150 K 1

Must Have TechnicalFunctional Skills

Jellyfish or similar engineering intelligence platforms SDLC tools integration with GitHub, Azure DevOps, Jira Agile

delivery metrics software engineering lifecycle reporting dashboards and analytics frameworks stakeholder

management AIML DLC and observability preferred.

Roles & Responsibilities

Lead onboarding, configuration, and operationalization of Jellyfish provide delivery lifecycle and work orchestration visibility enable tracking of productivity, throughput, cycle time, bottlenecks integrate with ADO, GitHub, and Jira design dashboards for leadership and delivery governance collaborate with AI DLC and App OpsObservability teams support tool ecosystem scaling.

Generic Managerial Skills, If any

Stakeholder management direct work with productengineering teams high-pressure delivery readiness.

Key Words to search in Resume

Jellyfish, Engineering Intelligence, Delivery Observability, Azure DevOps, GitHub, Jira, Agile Metrics, Cycle Time,

Throughput, Dashboards, AI DLC, Observability.

Pre-Screening Questionnaire

1. What experience do you have implementing or owning Jellyfish or similar platforms?

2. How have you integrated engineering intelligence tools with ADO, GitHub, or Jira?

3. What dashboards or metrics have you built for delivery governance and leadership visibility?

Role Descriptions: Key Responsibilities Lead onboarding, configuration, and operationalization of Jellyfish platform Provide end-to-end visibility into delivery lifecycle and work orchestration Enable tracking of: Engineering productivity Work throughput and cycle time Delivery bottlenecks and inefficiencies Integrate Jellyfish with tools such as: Azure DevOps (ADO), GitHub, Jira (future target) Design dashboards and reporting for: Leadership visibility Delivery governance Collaborate with AI DLC (Delivery lifecycle) teams App Ops Observability teams Enable data-driven decision making for engineering leadership Support scaling of the tooling ecosystem as additional tools are onboarded

Essential Skills: Preferred Skills Exposure to AIML development lifecycle (AI DLC) Experience in observability and app performance measurement Familiarity with engineering productivity metrics frameworks

Desirable Skills:

Keyword:

Skills: Digital : Microsoft AzureGithub Enterprise

Experience Required: 6-8