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Director Rpa Jobs in Utah (NOW HIRING)

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Appian Low-Code Lead Architect

Salt Lake City, UT · On-site +1

$53.50 - $73.25/hr

Evaluate and implement custom plug-ins, RPA, and advanced document-generation frameworks. * Engage with clients and internal stakeholders to gather requirements, present architectural tradeoffs, and ...

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Aegis Worldwide

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Automation Technician

Salt Lake City, UT · On-site

$38 - $48/hr

Direct Hire About the Role: We are seeking an experienced and highly skilled Automation Technician ... Perform hands-on troubleshooting and repair of robotic packaging equipment. * Inspect, maintain ...

Entrata

AI Software Engineer

Lehi, UT · On-site +1

... process innovation to make a direct impact on operational efficiency across Entrata ... RPA frameworks). * Advanced knowledge of AI/ML APIs and integration best practices. This band ...

Entrata

AI Software Engineer

Lehi, UT · On-site +1

$110.40K - $176.80K/yr

... process innovation to make a direct impact on operational efficiency across Entrata ... or RPA frameworks). * Advanced knowledge of AI/ML APIs and integration best practices. $110,400 ...

Weave

Senior Product Manager, Integrations

Lehi, UT · On-site

$118.70K - $156.80K/yr

... or RPA-driven integrations. • Demonstrated ability to lead cross-functional initiatives end-to-end--from strategic framing to technical execution to market launch. • Ability to communicate ...

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Director Rpa information

See Utah salary details

$22.1K

$96.5K

$166K

How much do director rpa jobs pay per year?

As of May 31, 2026, the average yearly pay for director rpa in Utah is $96,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,020.00 and $117,741.00 per year, depending on experience, location, and employer.

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

To thrive as a Director of RPA, you need a solid background in process automation, project management, and business analysis, often supported by a relevant degree and experience leading automation initiatives. Familiarity with RPA platforms like UiPath, Automation Anywhere, or Blue Prism, as well as certifications in these tools, is crucial for overseeing successful deployments. Strategic thinking, leadership, and strong communication skills help drive collaboration across departments and secure stakeholder buy-in. These competencies are essential to ensure seamless automation implementation that aligns with organizational goals and delivers measurable value.

What are the main challenges a Director of RPA faces when scaling automation initiatives across multiple departments?

A Director of RPA often encounters challenges such as aligning automation goals with varied departmental processes, managing change resistance among staff, and ensuring that automation solutions are robust and secure. Coordinating with IT, business analysts, and department heads is essential to identify the best opportunities for automation and to standardize practices. Additionally, maintaining clear communication and providing ongoing training are crucial for successful adoption and scaling of RPA across the organization.

What is a Director of RPA?

A Director of Robotic Process Automation (RPA) is a senior leader responsible for overseeing the strategy, implementation, and management of RPA initiatives within an organization. This role involves identifying processes that can be automated, leading teams to develop and deploy automation solutions, and ensuring that RPA aligns with business goals. The Director of RPA also monitors performance, manages budgets, and keeps up with trends in automation technology. Their work helps organizations improve efficiency, reduce costs, and streamline operations.

What is the difference between Director Rpa vs Rpa Developer?

AspectDirector RpaRpa Developer
Required CredentialsTypically requires a Bachelor's degree in Computer Science or related field, with experience in RPA tools and leadership certificationsRequires a Bachelor's degree in Computer Science, Software Engineering, or related field, with proficiency in RPA tools
Work EnvironmentLeads RPA teams, manages projects, and collaborates with stakeholders at an organizational levelDevelops, tests, and maintains RPA bots within a team or project setting
Employer & Industry UsageUsed in large enterprises across finance, healthcare, and manufacturing for automation strategyEmployed in similar industries for automation development and implementation

The main difference between a Director Rpa and an Rpa Developer lies in their responsibilities and seniority. The Director Rpa oversees automation strategies and manages teams, while the Rpa Developer focuses on building and maintaining automation bots. Both roles require knowledge of RPA tools, but the Director Rpa typically has more leadership and strategic planning experience.

What are the most commonly searched types of Rpa jobs in Utah? The most popular types of Rpa jobs in Utah are:
What are popular job titles related to Director Rpa jobs in Utah? For Director Rpa jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Director Rpa jobs in Utah look for? The top searched job categories for Director Rpa jobs in Utah are:
Director Rpa jobs near you
Infographic showing various Director Rpa job openings in Utah as of May 2026, with employment types broken down into 97% Full Time, 1% Temporary, and 2% Contract. Highlights an 100% Physical job distribution, with an average salary of $96,487 per year, or $46.4 per hour.

Automation Architect (RPA)

Connect Tech+Talent

Salt Lake City, UT • Remote

Other

Posted 10 days ago

Job description

Job Description Job Description Automation Architect (RPA) Location: Salt Lake City, UT (Remote) Duration: 12 Months Job Summary: We are seeking a highly experienced Automation Architect with deep expertise in enterprise intelligent automation, Agentic AI Systems, hyperautomation, and AI-driven workflow orchestration. The ideal candidate will architect and lead next-generation automation cosystems that combine RPA, AI/ML, NLP, intelligent document processing, process intelligence, and autonomous AI agents to transform enterprise operations at scale. This role requires strong hands-on experience with advanced AI orchestration frameworks, multi-agent systems, autonomous workflows, tool-calling architectures, and enterprise automation platforms including UiPath AI Center, UiPath Automation Hub, UiPath Process Mining, UiPath Communications Mining, Automation Anywhere Bot Insight, and ABBYY Vantage.

The Automation Architect will lead enterprise automation strategy, AI-enabled workflow transformation, governance frameworks, and scalable AI automation platform development across complex enterprise environments. Required Automation & AI Platforms: (Mandatory) UiPath AI Center UiPath Automation Hub UiPath Process Mining UiPath Communications Mining Automation Anywhere Bot Insight ABBYY Vantage Required Skills: (Mandatory) Agentic AI Systems Multi-agent orchestration Autonomous workflows Tool-calling systems AI Agent Architecture Enterprise AI Orchestration AI-powered workflow automation Autonomous AI decision frameworks AI agent integration with enterprise systems Intelligent workflow reasoning systems Required Qualifications: 10+ years of experience in intelligent automation, RPA architecture, enterprise AI solutions, or workflow orchestration Proven experience designing and implementing enterprise-scale automation programs Strong hands-on expertise with Agentic AI Systems and enterprise AI orchestration Experience building scalable autonomous workflows and AI-driven automation ecosystems Strong expertise in API integrations, workflow orchestration, and enterprise application connectivity Experience with AI/ML-enabled automation platforms and process intelligence solutions Strong programming/scripting skills in Python, JavaScript, C#, or Java Experience with cloud platforms such as AWS, Azure, or Google Cloud Knowledge of enterprise integration patterns, microservices, and event-driven architectures Education: - Master's degree in Computer Science, Information Systems, Engineering, AI, or related field preferred - Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline

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