INTERNSHIP DETAILS

Digitalization Engineering Intern - Master's

CompanyHoneywell
LocationHouston
Work ModeOn Site
PostedOctober 19, 2026
Internship Information
Core Responsibilities
The intern will support enterprise digital initiatives by collaborating with IT and business teams to drive process digitization and operational excellence. They will assist in project execution, data integration, and the development of business intelligence solutions to improve site performance.
Internship Type
full time
Company Size
125890
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy. For additional information on how Honeywell processes your personal information please visit https://www.honeywell.com/privacy-statement.
About the Role

Digitalization Engineering Intern - Master's 

Reporting Relationship

Reports directly to the Senior ISC Project Management Manager within the Digital Transformation and Integrated Supply Chain (ISC) organization.

Position Summary

The Digitalization Engineering Intern will support enterprise digital initiatives focused on site integration, business process digitization, cross-functional IT collaboration, and operational excellence. This role is designed for a graduate-level student seeking hands-on experience leading and supporting strategic transformation efforts that connect operations, engineering, supply chain, and information technology functions.

The intern will partner with site leaders, IT stakeholders, and business teams to identify opportunities for digital adoption, process automation, data integration, and performance improvements. The individual will contribute to initiatives that enhance operational visibility, streamline workflows, and accelerate digital transformation across manufacturing and supply chain environments.

 

Learning Opportunities

Through this role, the intern will gain exposure to:

  • Enterprise digital transformation strategy
  • Business and IT integration practices
  • Operational technology and manufacturing digitization
  • Supply chain and site operations
  • Data analytics and business intelligence solutions
  • Project portfolio management
  • Executive-level stakeholder engagement
  • Continuous improvement and operational excellence methodologies

Expected Deliverables

By the conclusion of the internship, the candidate should:

  • Deliver a digital integration assessment or improvement recommendation for a site or business process.
  • Develop or enhance a business intelligence dashboard or reporting solution.
  • Support at least one cross-functional IT-enabled business initiative.
  • Present findings, recommendations, and project outcomes to business and functional leadership.
  • Contribute measurable improvements in process efficiency, visibility, or data quality.

Responsibilities

Key Responsibilities Highlights

  • Digital Integration & Site Support across manufacturing and operational sites
  • Cross-Functional IT Collaboration, serving as a liaison between business teams and IT organizations to support project execution and solution deployment.
  • Project & Transformation Support by assisting project managers.
  • Process Improvement & Automation

Qualifications

Must Have

  • Must graduate December 2027 or later    
  • Must continue enrollment in degree program upon completion of the internship  
  • Currently pursuing a Master's degree from an accredited college or university in one of the following degree programs:
    • Business Analytics
    • Information Systems
    • Supply Chain Management
    • Industrial Engineering
    • Data Science
    • Technology Management
    • MBA with Technology or Operations focus
    • Related discipline
  • Strong analytical, problem-solving, and communication skills.
  • Proficiency with Microsoft Excel, PowerPoint, and collaborative productivity tools.
  • Validated academic excellence (3.0 GPA and higher)  
  • Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S. ​

We Value

  • Experience with Power BI, Power Automate, SQL, Python, or similar platforms.
  • Exposure to ERP, MES, manufacturing, supply chain, or operational systems.
  • Understanding of project management methodologies (Agile, Waterfall, or Hybrid).
  • Familiarity with process improvement methodologies such as Lean or Six Sigma.
  • Experience working with cross-functional business and IT teams.

Honeywell is currently unable to consider applicants who would require current or future sponsorship for employment authorization for this position.  Candidates must be authorized to legally work in the United States without current or future sponsorship requirements. 

 


Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.
Key Skills
Digital TransformationSupply Chain ManagementData AnalyticsBusiness IntelligenceProject ManagementProcess AutomationInformation SystemsIndustrial EngineeringSQLPythonPower BIPower AutomateLeanSix SigmaERPMES
Categories
EngineeringManufacturingData & AnalyticsTechnologyManagement & Leadership