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Manufacturing Intelligence Software information

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$84.5K

$101.1K

$121K

How much do manufacturing intelligence software jobs pay per year?

As of Jun 24, 2026, the average yearly pay for manufacturing intelligence software in the United States is $101,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is Manufacturing Intelligence Software?

Manufacturing Intelligence Software refers to digital tools and platforms that collect, analyze, and visualize data from manufacturing operations to help businesses optimize production, quality, and efficiency. These systems integrate data from machines, sensors, and enterprise software to deliver real-time insights, enabling companies to make informed decisions and quickly respond to issues. By using Manufacturing Intelligence Software, manufacturers can reduce downtime, improve product quality, and enhance overall productivity.

Is AI taking over manufacturing jobs?

Manufacturing intelligence software professionals work with AI and automation tools that can enhance productivity and reduce manual tasks. While AI automates certain repetitive processes, it often creates new roles focused on managing, developing, and maintaining these systems, making the workforce more skilled rather than replacing jobs entirely.

What are the key skills and qualifications needed to thrive in Manufacturing Intelligence Software roles, and why are they important?

To thrive in Manufacturing Intelligence Software roles, you need a solid background in data analysis, process engineering, and manufacturing operations, often supported by a degree in engineering, computer science, or a related field. Familiarity with MES (Manufacturing Execution Systems), SCADA, data visualization tools, and experience with programming languages such as SQL or Python are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals interpret data insights and collaborate with cross-functional teams. These skills are crucial for optimizing manufacturing processes, driving operational efficiency, and enabling data-driven decision-making in an industrial environment.

What is the highest paying job in manufacturing?

In manufacturing, senior engineering roles such as Manufacturing Engineering Manager or Director often have the highest salaries, especially for those with extensive experience and advanced certifications. These positions typically oversee production processes, implement manufacturing intelligence software, and require strong leadership and technical skills, commanding six-figure salaries in many regions.

What does an intelligent manufacturing engineer do?

An intelligent manufacturing engineer designs and implements advanced manufacturing systems that utilize data analytics, automation, and artificial intelligence to optimize production processes. They analyze manufacturing data, develop solutions to improve efficiency, and often work with software tools like manufacturing execution systems (MES) and industrial IoT platforms. Strong problem-solving skills and knowledge of manufacturing operations are essential for this role.

Which software jobs will be replaced by AI?

In manufacturing intelligence software, roles involving routine data analysis, report generation, and basic troubleshooting are increasingly automated by AI tools. Jobs that rely heavily on repetitive tasks or predefined algorithms are most susceptible to automation, while roles requiring complex problem-solving and domain expertise remain less affected.

What is the difference between Manufacturing Intelligence Software vs Manufacturing Data Analyst?

FeatureManufacturing Intelligence SoftwareManufacturing Data Analyst
CredentialsTypically requires technical skills, data analysis, and industry knowledgeRequires analytical skills, often with degrees in data science, statistics, or engineering
Work EnvironmentSoftware development, data integration, and factory floor supportData analysis, reporting, and process improvement in manufacturing settings
UsageUsed to monitor, analyze, and optimize manufacturing processes through software toolsInterprets data outputs from manufacturing systems to inform decision-making

Manufacturing Intelligence Software focuses on developing and implementing tools to analyze manufacturing data, while Manufacturing Data Analysts interpret this data to improve processes. Both roles are essential in modern manufacturing but serve different functions within the industry.

How does a professional in Manufacturing Intelligence Software typically collaborate with production and engineering teams?

Professionals working in Manufacturing Intelligence Software often play a key role in bridging the gap between IT systems and production or engineering teams. They gather requirements from manufacturing stakeholders, translate them into software solutions, and ensure that data flows seamlessly between different shop floor systems. Regular collaboration involves troubleshooting data issues, optimizing system performance, and training team members on new software tools. Strong communication skills are essential, as these professionals must explain technical concepts to non-technical staff and incorporate feedback to improve system usability.
What cities are hiring for Manufacturing Intelligence Software jobs? Cities with the most Manufacturing Intelligence Software job openings:
What states have the most Manufacturing Intelligence Software jobs? States with the most job openings for Manufacturing Intelligence Software jobs include:
Manufacturing Intelligence Software jobs near you

Intern, Manufacturing Intelligence

Global Process Automation LLC

Wilmington, NC • On-site

$14.50 - $19/hr

Internship

Posted 15 days ago

Job description

Manufacturing Intelligence Solutions Intern

About GPA:

GPA has delivered flexible, innovative, and fully integrated solutions using best-of-breed technologies for more than 25 years.


GPA has a company culture where team members enjoy coming to work every day and new and innovative ways of thinking are encouraged.

Description:

The Manufacturing Intelligence (MI) Intern will support GPA’s MI team through a combination of hands-on technical project work, operational support activities, and structured professional development. This role is intended for students pursuing a career in software development, industrial automation, manufacturing intelligence, or digital transformation within manufacturing environments.
The selected candidate will work directly with experienced engineers, developers, and project personnel while gaining exposure to real-world manufacturing systems including SCADA, MES, industrial historians, dashboards, reporting systems, and OT/IT infrastructure. In addition to technical responsibilities, the intern will assist with general office and administrative support tasks and complete prescribed technical and professional development training through GPA University.

Responsibilities:

  • Assist the Manufacturing Intelligence team with software development, testing, and troubleshooting activities
  • Support development of dashboards, reports, KPI visualizations, and data collection applications
  • Assist with SQL queries, database management, and basic data analysis tasks
  • Participate in configuration and testing of manufacturing systems including MES, SCADA, and historian platforms
  • Assist with documentation including workflows, system configurations, and technical procedures
  • Participate in internal project meetings, discovery workshops, and engineering discussions
  • Perform general office support and miscellaneous operational tasks as assigned
  • Complete assigned technical and professional development training through GPA University
  • Learn and apply manufacturing standards, operational workflows, and digital transformation methodologies
Preferred Candidate Profile
The ideal candidate is a student entering their junior or senior year pursuing a degree in:
  • Computer Science
  • Computer Engineering
  • Electrical Engineering
  • Industrial Engineering
  • Information Technology
  • Related technical discipline
The ideal candidate should also possess:
  • Familiarity with basic programming methodologies and software development concepts
  • A foundational understanding of computer networking and machine communications
  • Strong problem-solving and troubleshooting abilities
  • Good organizational and communication skills
  • A willingness to learn and work within industrial and manufacturing environments
  • The ability to manage multiple tasks and responsibilities simultaneously
Preferred Technical Exposure
Experience or coursework in any of the following areas is considered beneficial:
  • SQL databases
  • Python, JavaScript, C#, or similar programming languages
  • PLCs and industrial automation systems
  • SCADA or HMI platforms
  • Networking fundamentals
  • Industrial communication protocols
  • Manufacturing systems and data analytics
  • Ignition, MQTT, MES, or historian platforms