Manager, Intelligent Automation – Enablement

Vizient, Inc

Manager leading AI automation delivery for Vizient, a healthcare technology company connecting people, data, and solutions. Overseeing Agile PODs, Azure DevOps execution, releases, and production readiness.

Posted 8/14/2026full-timeIrving • Illinois, Minnesota, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $117,600 - $206,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading Agile software engineering teams and managing enterprise AI and Intelligent Automation initiatives, with a strong focus on delivery predictability, quality, and operational readiness. Proficient in utilizing Azure DevOps for project management and fostering a collaborative engineering culture.

Highest-signal resume keywords

Agile Software Engineering LeadershipAzure DevOps ManagementAI-Enabled Automation TechnologiesSoftware Development Lifecycle (SDLC)Cross-Functional Team Coordination

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProject ManagementAgile MethodologiesScrum FacilitationCapacity ManagementRisk AssessmentKPI TrackingRelease ManagementChange ManagementContinuous Improvement

Soft Skills

Organizational SkillsPlanning SkillsCommunication SkillsFacilitation SkillsProblem-Solving Skills

Tools & Technologies

Azure DevOpsJiraUiPathMicrosoft Power PlatformCI/CD

Industry Keywords

Enterprise Technology DeliveryIntelligent AutomationEngineering OperationsProduction SupportOperational Readiness

Tech Stack

Tools & technologies

AzureSDLC

About the role

Key responsibilities & impact

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 DevOps 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 DevOps 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 DevOps 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.

Requirements

What you’ll need

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 DevOps, 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, DevOps, 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 relationships across engineering, business, and operational teams.
Ability and willingness to work onsite in Vizient's Irving, Texas office.

Benefits

Comp & perks

Incentive eligible
Comprehensive benefits plan
Personal and professional development opportunities
Inclusive work environment
Opportunities to learn, grow, and drive lasting change