Lead Analyst, AI Intelligent Automation

Vizient•Chicago, IL

1d•$117,600 - $206,000•Onsite

About The Position

In this role, you will lead the design, development, implementation, and support of enterprise intelligent automation solutions leveraging Microsoft Power Platform and UiPath technologies. You will partner with business and technology stakeholders to identify automation opportunities, modernize business processes, and deliver scalable solutions that improve operational efficiency, data visibility, and business outcomes. You will serve as a technical leader and mentor across automation initiatives, driving governance, best practices, and project delivery while supporting enterprise automation and digital transformation strategies.

Requirements

Relevant degree preferred
7 or more years of experience designing, developing, and supporting enterprise automation solutions required
5 or more years of experience with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, Dataverse, and AI Builder required
3 or more years of experience with UiPath Studio, UiPath Orchestrator, and related automation technologies required
Experience designing and implementing scalable automation solutions within complex enterprise environments required
Strong understanding of automation governance, platform administration, security, and best practices required
Experience integrating automation solutions with APIs, databases, cloud services, enterprise applications, and third-party systems required
Demonstrated ability to analyze business processes and identify opportunities for automation and operational improvement required
Experience leading technical projects and managing multiple priorities in a fast-paced environment required
Strong troubleshooting and problem-solving skills with the ability to resolve complex technical issues required
Experience developing reporting, analytics, and dashboard solutions to support operational visibility and business outcomes required
Demonstrated ability to communicate effectively with both technical and non-technical stakeholders required
Strong collaboration, organizational, and stakeholder management skills required
You must be authorized to work in the United States without sponsorship

Nice To Haves

Experience mentoring technical team members and providing leadership across automation initiatives preferred
Knowledge of AI, intelligent document processing, machine learning, or emerging automation technologies preferred
Experience working within Agile delivery methodologies and DevOps practices preferred

Responsibilities

Lead the design, architecture, development, and deployment of intelligent automation solutions using Microsoft Power Platform and UiPath technologies
Serve as a subject matter expert for automation platforms, providing guidance on governance, scalability, best practices, and solution optimization
Partner with business stakeholders and cross-functional teams to gather requirements, assess business processes, and identify automation opportunities
Develop and maintain solutions utilizing Power Apps, Power Automate, Power BI, Dataverse, AI Builder, UiPath Studio, UiPath Orchestrator, and related technologies
Drive automation and modernization initiatives by transforming manual and repetitive processes into scalable, efficient, and reusable solutions
Lead technical delivery activities including solution design, development, testing, deployment, production support, and continuous improvement
Ensure automation solutions adhere to enterprise standards for security, reliability, maintainability, and performance
Collaborate with technical teams to integrate automation platforms with APIs, databases, cloud services, enterprise applications, and third-party systems
Troubleshoot and resolve complex technical issues involving workflows, integrations, automation orchestration, and platform performance
Lead automation projects and workstreams, managing timelines, priorities, deliverables, risks, and stakeholder communications
Develop reporting, dashboards, and analytics solutions that improve operational visibility and support data-driven decision making
Communicate technical concepts, recommendations, and project updates effectively to both technical and non-technical audiences
Mentor automation engineers, developers, and analysts through coaching, technical guidance, peer reviews, and knowledge sharing
Support the advancement of automation governance frameworks, standards, and Center of Excellence (CoE) practices
Research and evaluate emerging automation, AI, and low-code technologies to drive innovation and continuous improvement