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Robotic Process Automation Manager Jobs in Indiana

Kem Krest

Supply Chain Director

Elkhart, IN · On-site +1

$174K - $197K/yr

Evaluate and deploy ROI-driven technology-RPA, machine learning, real-time dashboards-and translate data into decisions. • Lead and grow people. Coach managers and individual contributors, design ...

Howmet Aerospace

Automation Technician

La Porte, IN

$38K/yr

Design and program management of fixtures used within the robotic processes. * Support/train manufacturing operators on the use of automation within the process. * Documentation of all changes to ...

Howmet Aerospace

Automation Technician

La Porte, IN

$38K/yr

Design and program management of fixtures used within the robotic processes. * Support/train manufacturing operators on the use of automation within the process. * Documentation of all changes to ...

Onebridge

ServiceNow Developer

Indianapolis, IN · On-site

$47.25 - $65/hr

... RPA. • Solid understanding of ServiceNow data models, security, ACLs, application scoping, and best practices. • Experience developing and supporting integrations using REST, SOAP, JSON, MID ...

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Robotic Process Automation Manager information

See Indiana salary details

$29.5K

$111K

$161.3K

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

As of Aug 12, 2026, the average yearly pay for robotic process automation manager in Indiana is $110,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $132,300.00 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 Manager?

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 Indiana? The most popular types of Robotic Process Automation jobs in Indiana are:
What cities in Indiana are hiring for Robotic Process Automation Manager jobs? Cities in Indiana with the most Robotic Process Automation Manager job openings:
Robotic Process Automation Manager jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Gary, IN • On-site

Other

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply