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Robotic Process Automation Program Manager Jobs in Michigan

LECO Corporation

Automation Engineer

Saint Joseph, MI · On-site

Industrial Robotics * Process Automation * Troubleshooting & Diagnostics * Electrical & Control Systems * Project Management * Continuous Improvement * Technical Documentation * Communication & Team ...

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Robotic Process Automation Program Manager information

How does a robotic process automation program manager typically collaborate with cross-functional teams during an RPA implementation?

A Robotic Process Automation Program Manager works closely with business stakeholders, IT professionals, and process owners to identify automation opportunities and ensure successful RPA deployments. They facilitate communication between technical teams and business units, aligning project goals with organizational objectives. Managing timelines, resource allocation, and change management are key responsibilities, as is handling feedback and resolving issues swiftly. Effective collaboration is essential for overcoming challenges such as resistance to change and ensuring the RPA solution integrates smoothly with existing workflows.

What are the key skills and qualifications needed to thrive as a robotic process automation program manager?

To thrive as a Robotic Process Automation (RPA) Program Manager, you need strong project management experience, a background in business process analysis, and a solid understanding of automation technologies, often supported by a degree in computer science or a related field. Familiarity with RPA platforms such as UiPath, Blue Prism, or Automation Anywhere, and relevant certifications like PMP or RPA-specific credentials, are typically required. Excellent communication, leadership, and stakeholder management skills set top performers apart. These competencies ensure the effective planning, implementation, and scaling of automation initiatives that drive organizational efficiency and value.

What is a robotic process automation program manager?

A Robotic Process Automation (RPA) Program Manager is responsible for overseeing the planning, implementation, and management of RPA initiatives within an organization. They coordinate cross-functional teams to identify automation opportunities, manage project timelines, and ensure successful deployment of bots that automate repetitive business processes. Additionally, they monitor program performance, optimize workflow, and ensure compliance with organizational standards and best practices. Their goal is to improve operational efficiency through effective automation strategies.

What is the difference between Robotic Process Automation Program Manager vs Business Analyst?

AspectRobotic Process Automation Program ManagerBusiness Analyst
CertificationsRPA certifications, PMP, AgileCBAP, PMI-PBA, Agile certifications
Work EnvironmentProject teams, IT departments, automation projectsBusiness units, project teams, process improvement
Industry UsageFinance, healthcare, manufacturing, technologyFinance, retail, healthcare, consulting

The Robotic Process Automation Program Manager focuses on leading automation projects, managing teams, and ensuring successful RPA implementation. In contrast, a Business Analyst analyzes business processes, gathers requirements, and supports process improvements. While both roles collaborate on projects, the RPA Program Manager has a broader leadership role in automation initiatives, whereas the Business Analyst concentrates on understanding and documenting business needs.

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Robotic Process Automation Program Manager jobs near you

Technical Lead I-AI Engineer

Blue Cross Blue Shield of Michigan

Detroit, MI • On-site

$101K - $133K/yr

Other

Posted 13 days ago

Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

189th of 303 rated insurance

Job description

IntroductionWith more than 7,000 employees, we are the largest health insurance company in Michigan. We offer an exciting work environment with a diverse group of employees. Our goal is to make health insurance easier for our members. We want to transform the industry and become a resource that people can trust.

Overview

The AI Engineer/Technical Lead is responsible for designing, developing, and leading intelligent automation solutions using UiPath’s RPA and AI ecosystem. The role combines hands-on development with technical leadership, ensuring high-quality delivery of AI-enhanced automation projects.

Responsibilities

  • Lead design and development of UiPath automation solutions, including AI Center and Document Understanding.
  • Build and deploy AI/ML models to enhance automation accuracy and efficiency.
  • Integrate workflows with APIs, databases, cloud services, and enterprise systems.
  • Provide technical leadership, code reviews, and mentorship to RPA developers.
  • Collaborate with business teams to assess processes, define requirements, and deliver scalable solutions.
  • Oversee deployment, monitoring, and optimization through UiPath Orchestrator.
  • Troubleshoot issues, maintain existing automations, and ensure best practices and governance.

Requirements

Required Skills

  • Strong problem-solving, leadership, and communication skills.
  • Strong expertise with UiPath Studio, Orchestrator, AI Center, Document Understanding, and Action Center.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
  • Experience with OCR technologies (Document Understanding, ABBYY, Google Vision, Azure Form Recognizer).
  • Knowledge of API integration, REST/SOAP services, SQL/NoSQL databases.
  • Understanding of cloud platforms (Azure/AWS/GCP) and containerization (Docker).
  • Familiarity with Git, CI/CD pipelines, and DevOps for automation

AI & ML Expertise:

  • Design and build custom ML models (Python, TensorFlow, PyTorch, Scikit-Learn) to solve business-specific problems.

  • Fine-tune and optimize models for accuracy, performance, and scalability.

  • Manage model lifecycle: training, retraining, versioning, monitoring, and drift detection.

  • Utilize GenAI, NLP, LLM-based solutions to enhance automation (ChatGPT-like assistants, classification models, summarization tools, etc.).

What Blue Cross Blue Shield of Michigan employees say

Pay

Benefits

Hours and flexibility

Workplace

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