below marketmost similar roles pay hereabove market
This role pays less than
61%
of similar roles. Most pay
$153,250–$212,150
— the blue band above.
At the midpoint, this role pays about
$169k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About Caterpillar
Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing
Caterpillar currently has
131 open roles
on FindRole.
Listed pay typically runs
$128,470–$192,710
across 125 roles with salary data.
The Intelligent Automation COE Lead joins the Intelligent Automation and Business Intelligence Center of Excellence to guide enterprise growth in Business Process Automation and Process Discovery and Mining. You will lead the strategy for identifying automation opportunities, designing durable end-to-end workflows, and quantifying business value through data-driven mining. Responsibilities include providing technical leadership on Bizagi process design, building reusable patterns, and determining where Generative AI agents complement traditional automation for unstructured work. You will utilize tools including Bizagi, Automation Anywhere, and the Microsoft Power Platform, specifically Power Automate and Power Apps. Key skills involve BPMN 2.0 modeling, process mining analytics, and integrating RPA with agentic AI. You will ensure the automation ecosystem remains scalable and well-governed while aligning with the broader digital and operational excellence roadmap.
Lead enterprise adoption and maturity of Business Process Automation (BPA) and process mining tools.
Guide business units in identifying and prioritizing automation opportunities using data-driven process discovery.
Determine where to apply Generative AI agents versus traditional RPA or deterministic workflow automation.
Provide technical SME guidance on Bizagi process design, BPMN modeling, and deployment patterns.
Develop reusable assets including process discovery playbooks, mining templates, and governance documentation.
Analyze process mining data to visualize bottlenecks and quantify automation ROI.
Establish enterprise standards for process documentation, naming conventions, and lifecycle management.
Partner with security and infrastructure teams to ensure the automation ecosystem is scalable and governed.
What we're looking for
Bachelor’s degree in Computer Science, Information Technology, Engineering, Industrial Engineering, or a related field (preferred).
10+ years of combined experience in business process automation, process improvement, intelligent automation, or analytics platform support (preferred).
Hands-on experience designing and delivering BPA solutions in Bizagi or comparable platforms like Appian, Pega, or Camunda (preferred).
Hands-on experience with process discovery and mining tools such as Automation Anywhere Process Discovery, Power Automate Process Mining, or Celonis (preferred).
Working knowledge of Automation Anywhere (RPA) and the Microsoft Power Platform (Power Automate, Power Apps) (preferred).
Practical understanding of Generative AI and AI agents in an enterprise context, including prompt design and responsible AI guardrails (preferred).
Experience scripting or automating tasks using tools such as Python, PowerShell, or SQL (preferred).
Experience with Azure services supporting automation, such as Azure Functions, Logic Apps, and Microsoft Fabric (preferred).
Blue Prism
Microsoft Power Platform
Alteryx
Python
C#
Java
Power Apps
Power Automate
Microsoft Dataverse
SQL
RESTful APIs
Informatica
Talend Pentaho
Copilot Studio
RPA
Agile
Identity & Access Management (IAM)
Tines
Automation Engineering
APIs
Web Services
Digital Coworker
AI-enabled automation
Cyber Security
Software Development
Process Optimization
Data Analysis
Ticketing Systems
Copilot Studio
Power Platform
Power Automate
Dataverse
JSON
APIs
Workflow Automation
Chatbots
knowledge-management
digital-experience platforms
Low-code
Platform Engineering
Service Management