Engineering Intelligence Lead

Job Title : Engineering Intelligence Lead Jellyfish / Delivery ObservabilityLocation : Minneapolis, MN (Onsite)Role SummaryOwn the Jellyfish platform, implementation and operation of engineering intelligence and delivery observability .The role will enable visibility into delivery lifecycle performance, engineering productivity, and workflow efficiency across AI initiatives.This role is expected to immediately take over tooling ownership and partner with product, engineering, and AI teams to operationalize insights.Key ResponsibilitiesLead onboarding, configuration, and operationalization of Jellyfish platformProvide end-to-end visibility into delivery lifecycle and work orchestrationEnable Tracking OfEngineering productivityWork throughput and cycle timeDelivery bottlenecks and inefficienciesIntegrate Jellyfish With Tools Such AsAzure DevOps (ADO), GitHub, Jira (future target)Design Dashboards And Reporting ForLeadership visibilityDelivery governanceCollaborate withAI DLC (Delivery lifecycle) teamsApp Ops / Observability teamsEnable data-driven decision making for engineering leadershipSupport scaling of the tooling ecosystem as additional tools are onboardedRequired SkillsStrong experience with Jellyfish or similar engineering intelligence platformsExperience with SDLC tools integration (GitHub, ADO, Jira)Understanding OfAgile delivery metricsSoftware engineering lifecycleExperience building reporting dashboards and analytics frameworksStrong stakeholder management skillsPreferred SkillsExposure to AI/ML development lifecycle (AI DLC)Experience in observability and app performance measurementFamiliarity with engineering productivity metrics frameworksProfile Expectation (Critical per Customer)Hands-on and immediately deployableCapable of working directly with product and engineering teamsAble to operate in high-pressure, fast-moving environments