1

Robotic Process Automation Manager Jobs in Tennessee

The Business Trans Manager II will ensure RPA platform "hands-on" experience to recognize and proactively resolve technical roadblocks and impediments; conduct design review and code reviews; entail ...

The Business Trans Manager II will ensure RPA platform "hands-on" experience to recognize and proactively resolve technical roadblocks and impediments; conduct design review and code reviews; entail ...

The Business Trans Manager II will ensure RPA platform "hands-on" experience to recognize and proactively resolve technical roadblocks and impediments; conduct design review and code reviews; entail ...

Showing results 41-60

Robotic Process Automation Manager information

See Tennessee salary details

$28.1K

$105.8K

$153.8K

How much do robotic process automation manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for robotic process automation manager in Tennessee is $105,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $126,200.00 per year, depending on experience, location, and employer.

What is the difference between Robotic Process Automation Manager vs Robotic Process Automation Developer?

AspectRobotic Process Automation ManagerRobotic Process Automation Developer
CredentialsTypically requires a bachelor’s degree in IT, computer science, or related field; certifications like UiPath or Automation Anywhere are commonSimilar credentials; often holds certifications in RPA tools and programming languages
Work EnvironmentLeads teams, manages projects, and oversees RPA implementation in organizationsFocuses on designing, developing, and testing RPA solutions
Employer & Industry UsageUsed across industries for process automation, often in managerial or strategic rolesPrimarily in IT or automation teams, executing technical tasks

The Robotic Process Automation Manager oversees RPA projects and teams, focusing on strategy and implementation, while the Robotic Process Automation Developer concentrates on creating and coding automation solutions. Both roles require similar technical credentials but differ in scope and responsibilities.

What does a Robotic Process Automation Manager do?

A Robotic Process Automation (RPA) Manager oversees the deployment, management, and optimization of software robots that automate repetitive business processes. They collaborate with various departments to identify automation opportunities, lead RPA projects, and ensure that automated solutions align with organizational goals. Additionally, RPA Managers are responsible for managing teams of RPA developers, maintaining compliance standards, and measuring the effectiveness of automation initiatives to drive operational efficiency.

What are some common challenges faced by a Robotic Process Automation Manager when scaling RPA initiatives across an organization?

A Robotic Process Automation Manager often encounters challenges such as managing change resistance among employees, ensuring robust governance for bot deployment, and integrating RPA solutions with legacy systems. Balancing speed of implementation with thorough process documentation and compliance requirements is also vital. Collaboration with IT, business analysts, and process owners is crucial to address these challenges and ensure successful scaling of automation across the enterprise.

What are the key skills and qualifications needed to thrive as a Robotic Process Automation (RPA) Manager, and why are they important?

To thrive as a Robotic Process Automation Manager, you need expertise in process analysis, automation strategy, and experience with RPA platforms, typically supported by a degree in computer science, engineering, or related fields. Familiarity with tools like UiPath, Blue Prism, Automation Anywhere, and certifications in RPA technologies are highly valued. Strong leadership, problem-solving, and communication skills help drive cross-functional teams and manage change effectively. These skills ensure successful automation initiatives, improved operational efficiency, and alignment with business objectives.
What are the most commonly searched types of Robotic Process Automation jobs in Tennessee? The most popular types of Robotic Process Automation jobs in Tennessee are:
What cities in Tennessee are hiring for Robotic Process Automation Manager jobs? Cities in Tennessee with the most Robotic Process Automation Manager job openings:
Infographic showing various Robotic Process Automation Manager job openings in Tennessee as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,835 per year, or $50.9 per hour.
UiPath Developer/System Programmer 4

UiPath Developer/System Programmer 4

Indus River Technologies Inc.

Nashville, TN • On-site

Other

Posted 2 days ago


Job description

Job Title: UiPath Developer/System Programmer 4 (65886)

Location: 12 Rosa L. Parks Avenue N., 20th floor, Nashville, Tennessee 37243 (Hybrid)

Locals

 

The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across state government agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath’s automation platform.

 

Key Duties and Responsibilities
Design, develop, test, and implement UiPath automation solutions for state government business processes.
Build and maintain automations including attended, unattended, and scheduled bots for repetitive, rules-based workflows.
Analyze business requirements and translate them into scalable automation solutions using UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies.
Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation.
Create reusable automation components, libraries, & templates to support enterprise automation initiatives.
Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services.
Implement secure automation practices aligned with state cybersecurity, privacy, and compliance standards.
Perform testing, debugging, troubleshooting, and ongoing maintenance of automation solutions.
Monitor bot performance, resolve production issues, and optimize automation reliability and efficiency.
Develop technical documentation and workflow diagrams.
Support citizen service modernization initiatives through intelligent automation technologies.


Agentic AI Responsibilities
Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities.

Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls.
Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows.
Build human-in-the-loop workflows that combine AI agents with employee oversight and approval processes.
Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications.
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems.
Ensure responsible AI practices including transparency, auditability, bias mitigation, security, and compliance with government policies.
Evaluate emerging AI and automation technologies to improve state operational efficiency and service delivery.
Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies.


Preferred Technical Skills
UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding
REFramework and enterprise RPA design patterns
API integrations, REST/SOAP services, SQL databases
OCR technologies and intelligent document processing
Generative AI, LLM integration, prompt engineering, and AI orchestration
Programming/scripting languages such as C#, , Python, PowerShell, or JavaScript
Cloud platforms and enterprise authentication/security concepts
Agile/Scrum development methodologies