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Manager Process Mining Jobs in Texas (NOW HIRING)

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Manager Process Mining information

What is the difference between Manager Process Mining vs Process Analyst?

AspectManager Process MiningProcess Analyst
Required CredentialsBachelor's or Master’s in Business, Data Science, or related field; certifications in process mining toolsBachelor's in Business, Data Analysis, or related; certifications in process analysis or data tools
Work EnvironmentLeadership role overseeing process mining teams; strategic planningAnalyzing and mapping processes; supporting process improvements
Employer & Industry UsageUsed in manufacturing, finance, and IT sectors for process optimizationCommon in similar industries for process evaluation and documentation

The Manager Process Mining focuses on leading teams and strategic implementation of process mining initiatives, while the Process Analyst concentrates on analyzing and documenting processes to identify improvements. Both roles require similar educational backgrounds and certifications but differ in scope and responsibilities within organizations.

What are the most commonly searched types of Process Mining jobs in Texas?

The most popular types of Process Mining jobs in Texas are:

What are popular job titles related to Manager Process Mining jobs in Texas?

For Manager Process Mining jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Manager Process Mining jobs in Texas look for?

The top searched job categories for Manager Process Mining jobs in Texas are:

What cities in Texas are hiring for Manager Process Mining jobs?

Cities in Texas with the most Manager Process Mining job openings:

Infographic showing various Manager Process Mining job openings in Texas as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

UiPath RPA Dev Lead Irving - TX - Texas

Sierra Business Solution LLC

Irving, TX • On-site

Other

Posted 25 days ago


Job description

Summary

In this role, you will be the technical delivery leader for enterprise Intelligent Automation initiatives. You will determine the appropriate technologies, solution architecture, engineering approach, technical skills, and support model required for successful delivery.

You will lead AI Automation Engineers and Senior AI Automation Engineers across multiple initiatives and remain accountable for technical quality, delivery success, production readiness, and operational support. You will partner with the Manager, AI Intelligent Automation, who owns intake, funding, prioritization, staffing, and portfolio flow, and with the Director to execute the enterprise transformation roadmap.

Qualifications

Relevant degree preferred.

12+ years of software engineering, enterprise automation, or platform engineering experience.

8+ years of enterprise UiPath engineering experience.

5+ years leading technical teams or complex enterprise automation initiatives.

Proven experience designing and delivering large-scale enterprise automation ecosystems.

Experience owning solution architecture, engineering standards, delivery lifecycle, and production support.

Experience defining technical skills, effort, architecture, and delivery plans for multiple initiatives.

Strong technical leadership, executive communication, stakeholder management, and decision-making skills.

Technical Skills & Technologies

The ideal candidate has strong hands-on experience across many of the following areas:

Enterprise Intelligent Automation: UiPath, Microsoft Power Platform, enterprise RPA platforms

AI-Enabled Automation: Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining

Solution Architecture & Integration: Enterprise architecture, API integration, event-driven patterns, Python, C#, .NET, SQL

Cloud & Engineering Platforms: Microsoft Azure, Azure OpenAI, Azure DevOps, Git, CICD, cloud-native services

Engineering Lifecycle & Operations: SDLC, Agile, DevSecOps, observability, production readiness, incident management, root-cause analysis