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Process Automation Manager Jobs in Springfield, MO

Quora

AI Automation Engineer -Remote

Springfield, MO · On-site +1

$202.38K - $234.20K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Excellent debugging skills and the ability to manage multiple projects simultaneously * High level ...

OWN, Inc.

Director of AI & Automation

Springfield, MO · On-site

Integrate AI tools with Google Drive, Sheets, Gmail, CRM, project management, and operational ... Leading automation and process improvement initiatives * Strong understanding of Google Workspace ...

OWN, Inc.

Director of AI & Automation

Springfield, MO · On-site +1

Integrate AI tools with Google Drive, Sheets, Gmail, CRM, project management, and operational ... Leading automation and process improvement initiatives * Strong understanding of Google Workspace ...

myers

Maintenance Technician

Springfield, MO

Total Quality Management involves all employees at Buckhorn to be dedicated to participating in ... process automation. * Utilize statistical means to optimize and improve performance. * Analyze ...

KNAPP

Manager Site Operations

Brookline, MO · On-site

We live and breathe automation. We - more than 8,000 employees of the KNAPP Group in over 60 ... Oversee candidates in the process of interviewing, hiring, and training of potential site team

New

Next Level Solutions

Senior Quality Engineer

Springfield, MO · On-site +1

$75.50K - $102.30K/yr

... processes, and solve complex challenges. Whether you're coaching engineers, reviewing automation ... time management skills • Creative problem-solving mindset with strong attention to detail • ...

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Process Automation Manager information

See Springfield, MO salary details

$28.2K

$106.1K

$154.2K

How much do process automation manager jobs pay per year?

As of Jun 3, 2026, the average yearly pay for process automation manager in Springfield, MO is $106,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $126,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Process Automation Manager, you need expertise in process improvement methodologies (like Lean or Six Sigma), automation technologies, and a relevant degree in engineering, IT, or a related field. Familiarity with tools such as Robotic Process Automation (RPA) platforms (e.g., UiPath, Automation Anywhere), workflow management systems, and relevant certifications (like PMP or RPA certifications) is typically required. Strong leadership, problem-solving abilities, and effective communication skills help drive cross-functional collaboration and change management. These skills and qualifications are critical to successfully designing, implementing, and optimizing automated solutions that enhance efficiency and business outcomes.

What are some common challenges Process Automation Managers face when implementing new automation solutions?

Process Automation Managers often encounter challenges like resistance to change from staff, integration issues with legacy systems, and ensuring data security during automation. Successfully managing these hurdles requires strong communication skills to educate stakeholders about benefits, collaboration with IT teams to address technical compatibility, and careful planning to maintain compliance and protect sensitive information. Addressing these challenges proactively helps ensure smooth adoption of automation projects and maximizes their impact.

What does a Process Automation Manager do?

A Process Automation Manager oversees the design, implementation, and optimization of automated processes within an organization. Their main goal is to increase efficiency, reduce manual work, and improve overall business performance by leveraging technologies such as robotics process automation (RPA), artificial intelligence, and workflow management tools. They collaborate with various departments to identify automation opportunities, lead project teams, and ensure that automation solutions align with business objectives. Additionally, they monitor performance metrics and drive continuous improvement initiatives.

What are the 4 stages of process automation?

The four stages of process automation typically include process identification, process analysis, automation design and development, and process monitoring and optimization. A Process Automation Manager oversees these stages to ensure efficient implementation using tools like RPA and workflow management software.

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

AspectProcess Automation ManagerBusiness Process Analyst
CredentialsTypically requires certifications like RPA, BPM, or project managementOften holds business analysis or process improvement certifications
Work EnvironmentLeads automation projects, manages technical teams, collaborates with ITAnalyzes business processes, documents workflows, recommends improvements
Industry UsageCommon in IT, manufacturing, finance, and tech sectorsWidely used across various industries for process optimization

The Process Automation Manager focuses on implementing automation solutions and managing related teams, while the Business Process Analyst concentrates on analyzing and improving existing business processes. Both roles often collaborate but serve different functions within process improvement initiatives.

Process Automation Manager jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO • Remote

Other

Posted 12 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