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Remote Process Mining Jobs (NOW HIRING)

RPA Solutions Architect

Menlo Park, CA · Remote

$64.50 - $85/hr

CA (Remote) Duration: 12+ Months Role Type: Contract Job Location: Menlo Park, CA (Remote) Duration ... Mining -- Large-scale process discovery, bottleneck analysis, and identification of high-impact ...

RPA Solutions Architect

Menlo Park, CA · Remote

$74.25 - $97.75/hr

RPA Solutions Architect Job Location: Menlo Park, CA (Remote) Duration: 12 Months contract ... Mining - Large-scale process discovery, bottleneck analysis, and identification of high-impact ...

Process Excellence Manager

Sunnyvale, CA · On-site +1

$171K - $229K/yr

Proven ability to influence across teams and functions, including remote/global stakeholders ... Exposure to process mining tools (e.g. Celonis, UiPath Process Mining). * Experience supporting ...

... remote workforce. We take the best elements of virtual teams and combine them with a support ... You will tackle open-ended problems involving Task Mining, Process Mining, behavioral workflow ...

$47/hr

Remote USA Duration: 6 months Business Process Productivity Analyst Location: Remote / Global ... Familiarity with process mining, task mining, or intelligent automation tools for quantifying ...

Engineering/geology/mining/remote ops/central lab Location United States - Remote Classification Salaried

Engineering/geology/mining/remote ops/central lab Location United States - Remote Classification Salaried

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Remote Process Mining information

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How much do remote process mining jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote process mining in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Process Mining Specialist, and why are they important?

To thrive as a Remote Process Mining Specialist, you need a strong background in data analytics, process modeling, and business process management, often supported by a degree in computer science, engineering, or a related field. Familiarity with process mining tools such as Celonis, UiPath Process Mining, and data visualization platforms, as well as relevant certifications, is highly valuable. Exceptional problem-solving, communication, and self-motivation skills distinguish top performers in remote environments. These competencies enable effective analysis, insight generation, and collaboration across distributed teams, ensuring successful process optimization initiatives.

How does a remote process mining specialist typically collaborate with cross-functional teams to implement process improvements?

As a remote process mining specialist, you’ll regularly collaborate with business analysts, IT staff, and department managers to gather data, analyze workflows, and identify bottlenecks. Virtual meetings, project management tools, and data sharing platforms are integral to sharing insights and recommendations. You may also lead online workshops or training sessions to help teams understand findings and adopt new processes, making strong communication and remote collaboration skills essential for success in this role.

What is Remote Process Mining?

Remote Process Mining is a data-driven technique that analyzes and visualizes business processes by extracting event logs from information systems, all while working remotely. Professionals in this role use specialized software to discover, monitor, and improve real processes without needing to be physically present in the office. This enables organizations to optimize workflows, identify bottlenecks, and ensure compliance even when teams are distributed or working from home. Remote process mining is especially valuable in today's flexible work environments, as it leverages digital data to enhance operational efficiency.

What is the difference between Remote Process Mining vs Remote Data Analyst?

AspectRemote Process MiningRemote Data Analyst
Required CredentialsProcess mining certifications, data analysis skillsData analysis certifications, SQL, Excel proficiency
Work EnvironmentSoftware tools, process modeling platformsData visualization tools, spreadsheets, databases
Industry UsageBusiness process improvement, ERP systemsBusiness insights, reporting, decision support
Search & Comparison IntentUnderstanding process optimization rolesAnalyzing data to inform decisions

Remote Process Mining focuses on analyzing and improving business processes using specialized software, while Remote Data Analysts interpret data sets to generate insights. Both roles require analytical skills and familiarity with data tools, but they serve different functions within organizations. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

More about Remote Process Mining jobs
What cities are hiring for Remote Process Mining jobs? Cities with the most Remote Process Mining job openings:
What are the most commonly searched types of Process Mining jobs? The most popular types of Process Mining jobs are:
What states have the most Remote Process Mining jobs? States with the most job openings for Remote Process Mining jobs include:
What job categories do people searching Remote Process Mining jobs look for? The top searched job categories for Remote Process Mining jobs are:
Infographic showing various Remote Process Mining job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 2% Temporary, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,986 per year, or $25.5 per hour.
RPA Solutions Architect

RPA Solutions Architect

TMS

Menlo Park, CA • Remote

$64.50 - $85/hr

Contractor

Posted 25 days ago


Job description

Role: RPA Solutions Architect
Location: CA (Remote)
Duration: 12+ Months
Role Type: Contract
 

Job Description
Job Location: Menlo Park, CA (Remote) Duration: 12 Months contract Visas: All visa acceptable (no H1B transfer)
Mandatory Skills: - 10+ years of experience in RPA and intelligent automation architecture.
- UiPath Automation Hub — Enterprise governance framework design, automation lifecycle management, pipeline intake and prioritization at scale
- UiPath AI Center — Building and orchestrating ML-integrated automation pipelines for intelligent, adaptive workflows
- UiPath Process Mining — Large-scale process discovery, bottleneck analysis, and identification of high-impact automation opportunities
- UiPath Communications Mining — NLP-driven automation discovery and customer service workflow optimization
- Automation Anywhere Bot Insight — Analytics dashboard development, bot performance tracking, and ROI reporting
- ABBYY Vantage — Intelligent document processing for invoices, contracts, and unstructured enterprise data
 
Required Experience:
- Proven track record delivering automation programs in large enterprise environments
- Experience supporting 100+ bots in production with governance and lifecycle management
- Background in industries such as banking, healthcare, retail, or consulting preferred
- Strong ability to balance strategic architecture with hands-on delivery
Key Responsibilities:
- Architect and deliver end-to-end enterprise automation programs across finance, healthcare, and/or retail domains
- Establish and scale Automation Centers of Excellence (CoEs) with governance models, intake processes, and standards
- Design AI-enabled automation pipelines integrating UiPath AI Center for model training and orchestration - Lead process intelligence initiatives using UiPath Process Mining to surface transformation opportunities
- Implement NLP-based discovery workflows via UiPath Communications Mining
- Deliver intelligent document processing solutions using ABBYY Vantage across high-volume business processes
- Build operational analytics and performance dashboards using Automation Anywhere Bot Insight
- Collaborate with business stakeholders to align automation strategy with enterprise priorities and measurable KPIs - Mentor and guide automation teams, establishing best practices for scalable, secure, and governed deployments