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Rpa Program Manager Jobs in Connecticut (NOW HIRING)

Nordsonhcm

Senior, Automation Engineer

Norwich, CT · On-site

$104K - $136K/yr

Program, integrate, and troubleshoot industrial robots (e.g., ABB, Fanuc), including motion ... concepts to top management and to implement ideas that improve the process. * Six Sigma ...

Berkley

Manager, Ceded Reinsurance Finance

Greenwich, CT · On-site

$99K - $130K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Advanced Excel; exposure to Power BI, RPA, or other automation tools is a plus * Strong ...

Berkley

Manager, Ceded Reinsurance Finance

Greenwich, CT · On-site

$99K - $130K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Advanced Excel; exposure to Power BI, RPA, or other automation tools is a plus * Strong ...

Berkley

Manager, Ceded Reinsurance Finance

Greenwich, CT · On-site

$99K - $130K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Advanced Excel; exposure to Power BI, RPA, or other automation tools is a plus * Strong ...

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Showing results 21-40

All JobsRpa Program JobsRpa Program Manager JobsRpa Program Manager Jobs in Connecticut

Rpa Program Manager information

See Connecticut salary details

$36.6K

$102.2K

$149.4K

How much do rpa program manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for rpa program manager in Connecticut is $102,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $126,000.00 per year, depending on experience, location, and employer.

What is an RPA Program Manager?

RPA Program Managers are professionals responsible for overseeing the implementation and management of Robotic Process Automation (RPA) initiatives within an organization. They coordinate between business units, IT teams, and RPA developers to ensure that automation projects align with business goals and are delivered on time and within budget. Their duties often include project planning, stakeholder management, risk assessment, and monitoring the performance of deployed bots. Ultimately, they help businesses streamline operations and improve efficiency through the effective use of RPA technology.

What are the key skills and qualifications needed to thrive as an RPA Program Manager?

To thrive as an RPA Program Manager, you need strong project management skills, experience in process automation, and a background in business analysis or IT, often supported by a relevant bachelor's degree. Familiarity with RPA tools such as UiPath, Blue Prism, or Automation Anywhere, and certifications like PMP or RPA-specific credentials, are highly valued. Excellent communication, leadership, and stakeholder management skills help drive cross-functional collaboration and change management. These abilities are crucial for ensuring successful automation initiatives that deliver tangible business value and process improvements.

What are some common challenges faced by RPA Program Managers when scaling automation initiatives across multiple departments?

RPA Program Managers often encounter challenges such as ensuring consistent governance standards, managing change resistance among staff, and prioritizing automation opportunities across diverse business units. Coordinating efforts between IT and business stakeholders is crucial, as each group may have different goals and expectations. Additionally, maintaining oversight on bot performance and compliance as the program grows requires robust monitoring and clear communication across teams. Addressing these challenges involves setting clear frameworks, fostering a collaborative culture, and investing in ongoing training.

What is the difference between Rpa Program Manager vs Rpa Developer?

AspectRpa Program ManagerRpa Developer
CredentialsProject management certifications, RPA certificationsProgramming certifications, RPA tool certifications
Work EnvironmentOversees multiple projects, manages teams, strategic planningDevelops and implements RPA solutions, coding, testing
Employer & Industry UsageUsed in organizations with large automation initiativesUsed in technical teams for automation development
Search & Comparison IntentUnderstanding managerial roles in RPA projectsTechnical development and coding in RPA

The Rpa Program Manager focuses on overseeing RPA projects, managing teams, and strategic planning, while the Rpa Developer is responsible for designing, coding, and testing automation solutions. Both roles are essential in RPA initiatives but differ in scope and technical involvement.

Rpa Program Manager jobs near you
Infographic showing various Rpa Program Manager job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 2% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $102,226 per year, or $49.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Danbury, CT • Remote

Full-time

Re-posted 18 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