Manager, Intelligent Automation & Enablement

Vizient; Irving (TX); On-site; USD 118,000 - 206,000; Full time

Job summary

Vizient in Irving, TX seeks an experienced leader to drive AI automation delivery across the AI‑DLC lifecycle. You will manage one or more pods, plan and execute from engineering planning to deployment, and ensure production readiness.

You will coordinate with the Director of AI Intelligent Automation and Lead AI Automation Engineer, shaping governance, architecture, and delivery standards. This role requires onsite work in Irving.

Qualifications

• Bachelor's degree in CS, information systems, or related field preferred.
• 5+ years software engineering or related delivery experience.
• 3+ years leading Agile software teams.
• Experience with SDLC and Agile methodologies.
• Experience with Azure DevOps, Jira, or similar tools.
• Onsite in Irving, Texas required.

Responsibilities

• Lead one or more AI automation delivery PODs across Vizient's AI Delivery Lifecycle (AI‑DLC).
• Own day-to-day execution from planning through deployment, ensuring predictable delivery and high quality.
• Facilitate Agile ceremonies including sprint planning, standups, backlog refinement, reviews and retrospectives.
• Coordinate engineering work across multiple engineers, QA, business analysts, and contractors.
• Prepare and communicate weekly delivery status reports and KPIs for leadership.
• Ensure production readiness and release planning, deployment, and post‑production support.

Skills

Agile delivery

Azure DevOps

Scrum leadership

Cross-functional collaboration

SDLC experience

Education

Bachelor's degree in Computer Science or related

Tools

Azure DevOps

Jira

CI/CD tooling

Job description

Excited to grow your career?

We value our talented employees and instill an environment where you feel engaged, satisfied and able to contribute your unique skills and talents while living and working as your authentic self. We provide extensive opportunities for personal and professional development, building employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Our people make all the difference in our success.

In this role, you will lead the day‑to‑day engineering delivery of Vizient's AI Intelligent Automation initiatives by managing one or more AI Automation Delivery PODs. You will be responsible for ensuring automation and AI solutions progress efficiently through the AI Delivery Lifecycle (AI‑DLC), from engineering planning and sprint execution through testing, deployment, and production readiness.

You will partner closely with the Director, AI Intelligent Automation, who owns portfolio management, business priorities, governance, and organizational operations, and with the Lead AI Automation Engineer, who owns solution architecture, technology selection, and engineering standards. You will oversee Agile delivery execution, Azure DevOps planning, sprint management, engineering coordination, delivery reporting, release readiness, and continuous improvement to ensure predictable, high‑quality delivery of enterprise automation solutions.

Success in this role is measured by the health and performance of AI Automation Delivery PODs, including delivery predictability, sprint execution, engineering throughput, release quality, operational excellence, and the consistent delivery of business value through enterprise AI and Intelligent Automation initiatives.

Responsibilities

• Lead one or more AI Automation Delivery PODs responsible for delivering enterprise AI and Intelligent Automation initiatives through Vizient's AI Delivery Lifecycle (AI‑DLC).
• Own the day‑to‑day execution of automation initiatives from engineering planning through deployment, ensuring predictable delivery, high quality, and operational readiness.
• Facilitate Agile delivery ceremonies including sprint planning, daily standups, backlog refinement, sprint reviews, retrospectives, and release planning.
• Manage Azure DevOps delivery activities including epics, features, user stories, tasks, bugs, sprint planning, work item quality, and delivery dashboards.
• Coordinate engineering work across Lead AI Automation Engineers, Senior AI Automation Engineers, AI Automation Engineers, QA resources, business analysts, contractors, and other delivery team members.
• Monitor sprint execution, engineering capacity, delivery progress, dependencies, risks, blockers, and resource utilization to ensure successful delivery commitments.
• Partner with the Director, AI Intelligent Automation to align engineering execution with approved portfolio priorities, staffing plans, business commitments, and organizational objectives.
• Partner with the Lead AI Automation Engineer to coordinate technical execution, solution readiness, engineering estimates, architecture reviews, production support planning, and engineering quality.
• Ensure automation initiatives progress through all phases of the AI Delivery Lifecycle (AI‑DLC), including engineering, testing, user acceptance, production readiness, deployment, hypercare, and operational transition.
• Coordinate release planning, deployment activities, production readiness reviews, rollback planning, and post‑production validation to ensure successful implementations.
• Prepare and communicate weekly delivery status reports, sprint metrics, engineering dashboards, delivery forecasts, risks, and mitigation plans for leadership.
• Track and report engineering delivery KPIs including sprint velocity, delivery predictability, cycle time, lead time, backlog health, release success, and delivery throughput.
• Balance engineering workloads across Delivery PODs by coordinating assignments, managing priorities, and proactively addressing resource constraints.
• Identify delivery risks early and work with engineering and business stakeholders to develop mitigation and recovery plans.
• Drive continuous improvement of Agile practices, Azure DevOps processes, AI‑DLC execution, engineering workflows, delivery 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.
• Ensure engineering documentation, Azure DevOps artifacts, and delivery records are complete, accurate, and maintained throughout the AI Delivery Lifecycle.
• Support production operations by coordinating defect resolution, release stabilization, and continuous improvement activities following deployment.
• Perform other leadership responsibilities necessary to ensure the successful execution of enterprise AI and Intelligent Automation initiatives.

Qualifications

• 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 including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives.
• Experience managing engineering work using Azure DevOps, Jira, or comparable Agile project management platforms.
• Experience coordinating cross‑functional engineering teams consisting of software engineers, quality engineers, business analysts, architects, contractors, and business stakeholders.
• Experience managing engineering capacity, delivery schedules, dependencies, risks, and resource allocation across multiple concurrent initiatives.
• Experience preparing executive‑ready delivery status reports, project dashboards, KPIs, and risk assessments.
• Working knowledge of enterprise Intelligent Automation platforms including UiPath, Microsoft Power Platform, and AI‑enabled automation technologies.
• Understanding of enterprise software engineering practices including SDLC, DevOps, CI/CD, release management, production support, and change management.
• Experience coordinating production deployments, release readiness activities, operational support, and post‑production stabilization.
• Strong organizational, planning, communication, facilitation, and problem‑solving skills with the ability to manage multiple priorities in a fast‑paced environment.
• Proven ability to build collaborative relationships across engineering, business, and operational teams while fostering accountability, transparency, and continuous improvement.
• Ability and willingness to work onsite in Vizient's Irving, Texas office.

Career Framework

Management - Manager (M2)

Estimated Hiring Range

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about‑us/careers

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