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Manager, Intelligent Automation – Enablement
Job in
Springfield, Sangamon County, Illinois, 62777, USA
Listed on 2026-08-18
Listing for:
Jobtailor
Full Time
position Listed on 2026-08-18
Job specializations:
-
Management
IT Project Manager
Job Description & How to Apply Below
- Lead one or more AI Automation Delivery PODs delivering enterprise AI and Intelligent Automation initiatives through Vizient's AI Delivery Lifecycle.
- Own day-to-day execution from engineering planning through deployment, ensuring predictable delivery, quality, and operational readiness.
- Facilitate Agile ceremonies including sprint planning, standups, backlog refinement, reviews, retrospectives, and release planning.
- Manage Azure Dev Ops epics, features, user stories, tasks, bugs, sprint planning, work item quality, and delivery dashboards.
- Coordinate engineering work across engineers, QA resources, business analysts, contractors, and other delivery team members.
- Monitor sprint execution, capacity, progress, dependencies, risks, blockers, and resource utilization.
- Align engineering execution with portfolio priorities, staffing plans, business commitments, and organizational objectives.
- Coordinate technical execution, solution readiness, estimates, architecture reviews, production support planning, and engineering quality.
- Ensure initiatives progress through engineering, testing, user acceptance, production readiness, deployment, hypercare, and operational transition.
- Coordinate release planning, deployments, production readiness reviews, rollback planning, and post-production validation.
- Prepare weekly delivery status reports, sprint metrics, dashboards, forecasts, risks, and mitigation plans for leadership.
- Track KPIs including sprint velocity, delivery predictability, cycle time, lead time, backlog health, release success, and throughput.
- Balance workloads across Delivery PODs and address resource constraints.
- Identify delivery risks and develop mitigation and recovery plans.
- Drive continuous improvement of Agile practices, Azure Dev Ops processes, AI-DLC execution, workflows, metrics, and operational efficiency.
- Coach and develop engineers in Agile delivery practices, engineering discipline, collaboration, accountability, and continuous improvement.
- Foster a collaborative, high-performing engineering culture focused on quality, transparency, predictable delivery, and customer satisfaction.
- Maintain complete and accurate engineering documentation, Azure Dev Ops artifacts, and delivery records.
- Support production operations by coordinating defect resolution, release stabilization, and post-deployment improvement activities.
- Perform other leadership responsibilities necessary for successful execution of enterprise AI and Intelligent Automation initiatives.
- Relevant bachelor's degree in Computer Science, Information Systems, Software Engineering, Engineering, Business, or a related field preferred.
- 5+ years of experience in software engineering, enterprise technology delivery, automation, engineering operations, project management, or related technical disciplines.
- 3+ years of experience leading Agile software engineering teams, engineering delivery organizations, or enterprise technology initiatives.
- Experience managing software development projects through the Software Development Lifecycle (SDLC) using Agile delivery methodologies.
- Experience leading Scrum teams and facilitating Agile ceremonies.
- Experience managing engineering work using Azure Dev Ops, Jira, or comparable Agile project management platforms.
- Experience coordinating cross-functional engineering teams including software engineers, quality engineers, business analysts, architects, contractors, and business stakeholders.
- Experience managing engineering capacity, schedules, dependencies, risks, and resource allocation across concurrent initiatives.
- Experience preparing executive‑ready delivery reports, dashboards, KPIs, and risk assessments.
- Working knowledge of UiPath, Microsoft Power Platform, and AI‑enabled automation technologies.
- Understanding of SDLC, Dev Ops, CI/CD, release management, production support, and change management.
- Experience coordinating production deployments, release readiness, operational support, and post‑production stabilization.
- Strong organizational, planning, communication, facilitation, and problem‑solving skills.
- Ability to manage multiple priorities in a fast‑paced environment.
- Proven ability to build collaborative…
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