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Manager Intelligent Automation Jobs in Itasca, IL

Scigon Solutions

RPA Developer

Chicago, IL · On-site

$55 - $70/hr

Intelligent document processing * Document understanding * Process mining * Task mining ... Jira or Azure DevOps for backlog and delivery management * Experience supporting regulated ...

Point B

Associate, AI & Process Automation

Chicago, IL · On-site

$69 - $138/hr

Exposure to AI, intelligent automation, process mining, low‑code platforms, enterprise applications (ERP, CRM), or workflow technologies. * Familiarity with Agile, SDLC, or product delivery ...

Vizient

AI & Decision Intelligence Director

Chicago, IL · On-site

$135K - $236K/yr

Develop and execute the Revenue Intelligence AI, machine learning, and intelligent automation ... Manage external vendors and contractor resources supporting delivery efforts. Qualifications

Transunion

Managers

Chicago, IL · On-site

$142K - $147K/yr

Intelligent Automation, Robotic Process Automation (RPA), Optical Character Recognition (OCR), Machine Learning (ML); batch and online delivery (analysis, account acquisitions and account management)

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All JobsIntelligent Automation JobsManager Intelligent Automation JobsManager Intelligent Automation Jobs in Itasca, IL

Manager Intelligent Automation information

See Itasca, IL salary details

$30.2K

$113.5K

$165K

How much do manager intelligent automation jobs pay per year?

As of Aug 25, 2026, the average yearly pay for manager intelligent automation in Itasca, IL is $113,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $135,300.00 per year, depending on experience, location, and employer.

What is a manager intelligent automation?

A Manager of Intelligent Automation is a professional responsible for overseeing the implementation and management of automation technologies, such as robotic process automation (RPA) and artificial intelligence (AI), within an organization. Their role involves identifying processes that can be automated, leading automation projects, and ensuring that these solutions align with business objectives. They also collaborate with cross-functional teams to optimize workflows, improve efficiency, and reduce costs. Additionally, they may be responsible for training staff, monitoring performance, and staying updated on emerging automation trends.

What are the key skills and qualifications needed to thrive as a manager intelligent automation?

To thrive as a Manager Intelligent Automation, you need expertise in process analysis, automation strategy, and project management, usually backed by a degree in computer science, engineering, or related fields. Proficiency with tools like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications such as RPA Developer or PMP, are typically required. Strong leadership, stakeholder management, and problem-solving skills help drive cross-functional collaboration and innovation. These skills are critical for successfully implementing automation initiatives that boost efficiency and deliver measurable business value.

How does a manager intelligent automation typically collaborate with cross-functional teams during automation projects?

A Manager of Intelligent Automation plays a pivotal role in bridging business units, IT, and operations to ensure automation solutions align with organizational goals. They frequently lead workshops with stakeholders to identify automation opportunities, translate business requirements into technical specifications for developers, and oversee project progress through regular meetings. Effective collaboration involves clear communication, managing expectations, and fostering a culture of continuous improvement, as well as providing support during change management to ensure seamless adoption of new automated processes.

What is the difference between Manager Intelligent Automation vs Business Process Manager?

AspectManager Intelligent AutomationBusiness Process Manager
Required CredentialsTypically requires certifications in automation tools, project management, and sometimes programmingOften requires business management, process improvement, or project management certifications
Work EnvironmentWorks closely with IT, automation teams, and technical stakeholdersFocuses on process optimization across departments, collaborating with business units
Industry UsageCommon in tech-driven industries, finance, and manufacturingWidely used across various industries for operational efficiency

The Manager Intelligent Automation focuses on implementing automation solutions using technical skills, while the Business Process Manager concentrates on optimizing overall business processes. Both roles aim to improve efficiency but differ in technical depth and scope.

What do managers of intelligent automation get paid?

Managers of intelligent automation typically earn between $90,000 and $150,000 annually, depending on experience, industry, and location. They often have skills in process automation tools like RPA software and project management, which can influence salary levels.

What cities near Itasca, IL are hiring for Manager Intelligent Automation jobs?

Cities near Itasca, IL with the most Manager Intelligent Automation job openings:

Manager Intelligent Automation jobs near you
Infographic showing various Manager Intelligent Automation job openings in Itasca, IL as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Contract, and 2% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $113,536 per year, or $54.6 per hour.

Manager, Intelligent Automation & Enablement

Vizient

Chicago, IL

Full-time

Posted 4 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

SummaryIn 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.

#LI-JB1

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

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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