Manager, Intelligent Automation – Enablement

Jobtailor

Illinois

On-site

USD 180,000 - 230,000

Full time

12 days ago

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Job summary

Vizient in Irving, Texas, seeks a senior leader to guide enterprise AI and Intelligent Automation delivery across the full lifecycle, from planning to production, owning end-to-end execution and quality. You will drive Agile ceremonies, sprint planning, and cross-functional coordination to meet commitments and maintain documentation.

You will manage Azure DevOps workflows, dashboards, and KPIs, while coaching engineers in Agile practices and ensuring production readiness.

Qualifications

Bachelor's degree or related field preferred.
5+ years in software engineering or enterprise technology delivery.
3+ years leading Agile software teams.
Experience with SDLC and Agile methodologies.
Experience coordinating cross-functional engineering teams.
Knowledge of UiPath, Power Platform, and AI-enabled automation.
Onsite work in Vizient's Irving, TX office.

Responsibilities

Lead one or more AI Automation Delivery PODs delivering enterprise AI initiatives.
Own day-to-day execution from planning through deployment to ensure predictable delivery.
Facilitate Agile ceremonies and coordinate delivery dashboards and KPIs.
Manage Azure DevOps artifacts, epics, features, and user stories; monitor sprint progress.
Coordinate engineering work across engineers, QA, analysts, and contractors.
Monitor capacity, risks, blockers, and resource utilization for multiple initiatives.
Align execution with portfolio priorities and business commitments.
Coordinate release planning, deployments, readiness, and post-production validation.
Prepare weekly delivery status reports and leadership dashboards.

Skills

Agile Software Leadership

Azure DevOps Management

Cross-Functional Coordination

SDLC & DevOps

Sprint Facilitation

KPI Tracking

Release Management

Change Management

Continuous Improvement

Technical Leadership

Education

Bachelor's degree or higher

Tools

Azure DevOps

Jira

UiPath

Microsoft Power Platform

CI/CD

Job description

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

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.

Core Competencies

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.

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