Engineering Manager Jobs in Nebraska
Engineering Manager jobs in Nebraska concentrate in advanced manufacturing, defense systems, agriculture technology, and infrastructure, with demand running from front-line team leads to senior directors overseeing multi-site operations. Omaha and Lincoln anchor the majority of openings, with a smaller but steady cluster in the Grand Island and Kearney corridor driven by food processing and energy projects. Union Pacific, Valmont Industries, and Cabela's parent company Bass Pro Shops maintain engineering management functions in Nebraska with consistent long-term hiring. The most in-demand specialties are manufacturing engineering, systems engineering, and civil and infrastructure project management. Find a role that fits below and apply directly.
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Showing 5 of 15+ Engineering Manager jobs
INTRODUCTION
We’re Here to Move the World Forward. Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our technology is helping feed the growing population, supplying the world with more reliable energy and access to renewables, enhancing connectivity in remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to make life better. Join a Fortune 1000 company that respects hard work, honors diversity and invests in our employees as we focus on creating the world of tomorrow, today. We are the modern workforce. Are you ready to move the world forward? Apply now.
A Brief Summary Of This Position
This is a management-level position within the Corporate Shared Services IT organization responsible for leading the development, deployment, and operationalization of Artificial Intelligence (AI) and Generative AI capabilities across the enterprise. The Manager, AI Engineering will oversee a team of AI Engineers/Contractors focused on delivering scalable, secure, and business-driven AI solutions that improve operational efficiency, manufacturing performance, quality, supply chain optimization, and employee productivity. This role serves as a key bridge between business stakeholders, Data & Analytics, Digital Manufacturing, Enterprise Architecture, and IT teams to transform business opportunities into production-ready AI products. The position is responsible for establishing AI engineering standards, AI delivery frameworks, ML-OPs practices, governance processes, and reusable enterprise AI capabilities while supporting the organization's AI strategy and roadmap. Lead the enterprise AI Engineering function by delivering secure, scalable, and high-impact AI solutions that enable smarter operations, accelerate innovation, improve manufacturing performance, and create measurable business value across the organization. It is essential to embody Valmont’s core values of Passion, Integrity, Continuous Improvement, and Delivering Results while cultivating a workplace where employees feel valued, trusted, understood, and respected.
Essential Functions
- This position reports directly to the Senior Director, Data & Analytics, and will have direct reports.
- This role requires up to 25% travel (domestic and international), including overnight stays.
- Build, mentor, and lead a high-performing AI Engineering team responsible for developing enterprise AI and Generative AI solutions.
- Partner with business leaders to identify, prioritize, and deliver AI use cases that generate measurable business value.
- Develop and maintain the enterprise AI engineering roadmap aligned with strategic business objectives.
- Lead the design, development, testing, deployment, and support of AI-powered applications and intelligent automation solutions.
- Establish best practices for AI development, ML-OPs, model deployment, monitoring, and lifecycle management.
- Collaborate with Data Engineering teams to ensure AI solutions leverage trusted enterprise data assets from modern cloud data platforms.
- Drive implementation of Generative AI solutions, AI assistants, intelligent agents, and Retrieval-Augmented Generation (RAG) architectures.
- Develop reusable AI services, APIs, frameworks, and accelerators that enable rapid delivery of business solutions.
- Participate in data model and data product discussions to ensure AI requirements are incorporated into enterprise data architecture.
- Ensure AI solutions adhere to corporate security, compliance, privacy, and governance standards.
- Evaluate emerging AI technologies and recommend opportunities to improve business operations and productivity.
- Implement monitoring, observability, and performance management practices for production AI systems.
- Apply Agile and DevOps methodologies to support effective AI product delivery and continuous improvement.
- Develop and maintain documentation, standards, and operational procedures related to AI engineering capabilities.
- Support the advancement of enterprise AI literacy and responsible AI adoption across the organization.
Other Important Details About The Role
- The incumbent must effectively communicate complex technical concepts and AI capabilities to both technical and non-technical stakeholders.
- This position acts as a liaison between Manufacturing Operations, Supply Chain, Engineering, Quality, Corporate Functions, and IT to ensure AI initiatives are aligned with business priorities.
- The role requires strong leadership and collaboration skills to influence organizational adoption of AI technologies and practices.
- Direction is provided by the immediate supervisor and typically consists of strategic priorities, business objectives, enterprise architecture standards, governance requirements, and resource constraints.
- The incumbent exercises significant independent judgment in evaluating AI technologies, recommending solutions, and managing technical delivery activities.
- Major AI initiatives require broad understanding of business processes, operational challenges, technology capabilities, and organizational impacts.
- The position collaborates closely with enterprise architects, cybersecurity teams, data engineering teams, data governance teams, and business leaders.
- Responsible for identifying risks associated with AI implementations and developing mitigation strategies to ensure reliable and trustworthy outcomes.
- Supports continuous improvement efforts by identifying opportunities to automate processes, enhance decision-making, and improve operational performance using AI technologies.
BASIC QUALIFICATIONS
- Bachelor's Degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or a related field, with 8+ years of relevant experience; or equivalent combination of education and experience.
- 3+ years of experience leading technical teams and managing technical professionals.
- Demonstrated experience developing and deploying AI, machine learning, or advanced analytics solutions in production environments.
- Strong knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent architectures.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Strong programming skills in Python and experience with modern AI and machine learning frameworks.
- Experience with ML-OPs practices including model deployment, monitoring, versioning, testing, and lifecycle management.
- Understanding of software engineering best practices, API development, DevOps, and CI/CD methodologies.
- Demonstrated ability to translate business challenges into scalable technology solutions.
- Experience working with enterprise data platforms, data products, and modern data architectures.
- Excellent communication, presentation, and stakeholder management skills.
- Demonstrated ability to lead cross-functional initiatives and influence decision-making across organizations.
- Strong analytical, problem-solving, and organizational skills.
- High degree of initiative, accountability, and self-motivation.
- Ability to work effectively with both technical and business teams.
- Passion and integrity with the drive to deliver measurable business outcomes.
PREFERRED QUALIFICATIONS
- Master's Degree in Artificial Intelligence, Computer Science, Data Science, Engineering, or related discipline.
- Experience in manufacturing, industrial, operations, supply chain, or quality-focused environments.
- Experience with Azure OpenAI, Azure AI Services, Microsoft Copilot Studio, Databricks, MLflow, LangChain, or Semantic Kernel.
- Experience implementing computer vision, predictive maintenance, or industrial AI solutions.
- Knowledge of Industry 4.0, Smart Manufacturing, IoT, or Digital Manufacturing initiatives.
- Azure, AI, cloud, or data-related professional certifications.
- Experience establishing enterprise AI governance frameworks and responsible AI programs.
- Experience building or scaling AI Centers of Excellence (CoE).
BENEFITS
Valmont offers employees and their families a comprehensive Total Wellbeing benefit package to ensure their individual and family’s overall wellness needs are met. Some offerings are dependent upon the role, work schedule, or location and can include the following:
- Healthcare (medical, prescription drugs, dental and vision)
- 401k retirement plan with company match
- Paid time off
- Employer paid life insurance
- Employer paid short-term and long-term disability including maternity leave
- Work Life Support
- Tuition Reimbursement up to $5,250 per year
- Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more
Valmont does not discriminate against any employee or applicant in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran status, disability or any other characteristic protected by law. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. If you have a disability and require any assistance in filling out the application for employment email EEOCompliance@Valmont.com.
LOCATION
15000 Valmont Plaza Omaha Nebraska 68154
INTRODUCTION
We’re Here to Move the World Forward. Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our technology is helping feed the growing population, supplying the world with more reliable energy and access to renewables, enhancing connectivity in remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to make life better. Join a Fortune 1000 company that respects hard work, honors diversity and invests in our employees as we focus on creating the world of tomorrow, today. We are the modern workforce. Are you ready to move the world forward? Apply now.
A Brief Summary Of This Position
This is a management-level position within the Corporate Shared Services IT organization responsible for leading the development, deployment, and operationalization of Artificial Intelligence (AI) and Generative AI capabilities across the enterprise. The Manager, AI Engineering will oversee a team of AI Engineers/Contractors focused on delivering scalable, secure, and business-driven AI solutions that improve operational efficiency, manufacturing performance, quality, supply chain optimization, and employee productivity. This role serves as a key bridge between business stakeholders, Data & Analytics, Digital Manufacturing, Enterprise Architecture, and IT teams to transform business opportunities into production-ready AI products. The position is responsible for establishing AI engineering standards, AI delivery frameworks, ML-OPs practices, governance processes, and reusable enterprise AI capabilities while supporting the organization's AI strategy and roadmap. Lead the enterprise AI Engineering function by delivering secure, scalable, and high-impact AI solutions that enable smarter operations, accelerate innovation, improve manufacturing performance, and create measurable business value across the organization. It is essential to embody Valmont’s core values of Passion, Integrity, Continuous Improvement, and Delivering Results while cultivating a workplace where employees feel valued, trusted, understood, and respected.
Essential Functions
- This position reports directly to the Senior Director, Data & Analytics, and will have direct reports.
- This role requires up to 25% travel (domestic and international), including overnight stays.
- Build, mentor, and lead a high-performing AI Engineering team responsible for developing enterprise AI and Generative AI solutions.
- Partner with business leaders to identify, prioritize, and deliver AI use cases that generate measurable business value.
- Develop and maintain the enterprise AI engineering roadmap aligned with strategic business objectives.
- Lead the design, development, testing, deployment, and support of AI-powered applications and intelligent automation solutions.
- Establish best practices for AI development, ML-OPs, model deployment, monitoring, and lifecycle management.
- Collaborate with Data Engineering teams to ensure AI solutions leverage trusted enterprise data assets from modern cloud data platforms.
- Drive implementation of Generative AI solutions, AI assistants, intelligent agents, and Retrieval-Augmented Generation (RAG) architectures.
- Develop reusable AI services, APIs, frameworks, and accelerators that enable rapid delivery of business solutions.
- Participate in data model and data product discussions to ensure AI requirements are incorporated into enterprise data architecture.
- Ensure AI solutions adhere to corporate security, compliance, privacy, and governance standards.
- Evaluate emerging AI technologies and recommend opportunities to improve business operations and productivity.
- Implement monitoring, observability, and performance management practices for production AI systems.
- Apply Agile and DevOps methodologies to support effective AI product delivery and continuous improvement.
- Develop and maintain documentation, standards, and operational procedures related to AI engineering capabilities.
- Support the advancement of enterprise AI literacy and responsible AI adoption across the organization.
Other Important Details About The Role
- The incumbent must effectively communicate complex technical concepts and AI capabilities to both technical and non-technical stakeholders.
- This position acts as a liaison between Manufacturing Operations, Supply Chain, Engineering, Quality, Corporate Functions, and IT to ensure AI initiatives are aligned with business priorities.
- The role requires strong leadership and collaboration skills to influence organizational adoption of AI technologies and practices.
- Direction is provided by the immediate supervisor and typically consists of strategic priorities, business objectives, enterprise architecture standards, governance requirements, and resource constraints.
- The incumbent exercises significant independent judgment in evaluating AI technologies, recommending solutions, and managing technical delivery activities.
- Major AI initiatives require broad understanding of business processes, operational challenges, technology capabilities, and organizational impacts.
- The position collaborates closely with enterprise architects, cybersecurity teams, data engineering teams, data governance teams, and business leaders.
- Responsible for identifying risks associated with AI implementations and developing mitigation strategies to ensure reliable and trustworthy outcomes.
- Supports continuous improvement efforts by identifying opportunities to automate processes, enhance decision-making, and improve operational performance using AI technologies.
BASIC QUALIFICATIONS
- Bachelor's Degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or a related field, with 8+ years of relevant experience; or equivalent combination of education and experience.
- 3+ years of experience leading technical teams and managing technical professionals.
- Demonstrated experience developing and deploying AI, machine learning, or advanced analytics solutions in production environments.
- Strong knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent architectures.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Strong programming skills in Python and experience with modern AI and machine learning frameworks.
- Experience with ML-OPs practices including model deployment, monitoring, versioning, testing, and lifecycle management.
- Understanding of software engineering best practices, API development, DevOps, and CI/CD methodologies.
- Demonstrated ability to translate business challenges into scalable technology solutions.
- Experience working with enterprise data platforms, data products, and modern data architectures.
- Excellent communication, presentation, and stakeholder management skills.
- Demonstrated ability to lead cross-functional initiatives and influence decision-making across organizations.
- Strong analytical, problem-solving, and organizational skills.
- High degree of initiative, accountability, and self-motivation.
- Ability to work effectively with both technical and business teams.
- Passion and integrity with the drive to deliver measurable business outcomes.
PREFERRED QUALIFICATIONS
- Master's Degree in Artificial Intelligence, Computer Science, Data Science, Engineering, or related discipline.
- Experience in manufacturing, industrial, operations, supply chain, or quality-focused environments.
- Experience with Azure OpenAI, Azure AI Services, Microsoft Copilot Studio, Databricks, MLflow, LangChain, or Semantic Kernel.
- Experience implementing computer vision, predictive maintenance, or industrial AI solutions.
- Knowledge of Industry 4.0, Smart Manufacturing, IoT, or Digital Manufacturing initiatives.
- Azure, AI, cloud, or data-related professional certifications.
- Experience establishing enterprise AI governance frameworks and responsible AI programs.
- Experience building or scaling AI Centers of Excellence (CoE).
BENEFITS
Valmont offers employees and their families a comprehensive Total Wellbeing benefit package to ensure their individual and family’s overall wellness needs are met. Some offerings are dependent upon the role, work schedule, or location and can include the following:
- Healthcare (medical, prescription drugs, dental and vision)
- 401k retirement plan with company match
- Paid time off
- Employer paid life insurance
- Employer paid short-term and long-term disability including maternity leave
- Work Life Support
- Tuition Reimbursement up to $5,250 per year
- Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more
Valmont does not discriminate against any employee or applicant in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran status, disability or any other characteristic protected by law. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. If you have a disability and require any assistance in filling out the application for employment email EEOCompliance@Valmont.com.
LOCATION
15000 Valmont Plaza Omaha Nebraska 68154
See All 15 Engineering Manager Jobs in Nebraska
Find roles in Nebraska that match your experience and apply in just a few clicks.
Find Engineering Manager JobsEngineering Manager Jobs by City in Nebraska
Where Nebraska roles are concentrated, by current openings.
Engineering Manager Job Market in Nebraska
A snapshot from current Nebraska openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Manufacturing
What Nebraska Employers Look For
The qualifications that appear most often in engineering manager jobs across Nebraska.
- Bachelor's degree in engineering or a related technical discipline required
- Professional Engineer license in Nebraska preferred or actively pursued for senior roles
- Five or more years of engineering experience with at least two in a supervisory capacity
- Demonstrated ability to lead cross-functional teams on complex technical projects
- Experience with project budgeting, resource allocation, and schedule management
- Familiarity with Nebraska-relevant sectors such as manufacturing, defense, agriculture technology, or infrastructure
Engineering Manager Jobs in Nebraska: Frequently Asked Questions
How do you become a engineering manager in Nebraska?
The most direct path is a bachelor's degree in an engineering discipline followed by several years of hands-on engineering work before stepping into management. Nebraska does not require a state license to hold the title of engineering manager, but many employers in civil, structural, and public-sector roles expect candidates to hold or be pursuing a Professional Engineer license issued through the Nebraska State Board of Engineers and Architects. Earning that PE credential significantly broadens the roles available to you in Nebraska.
Which companies hire engineering managers in Nebraska?
Employers hiring engineering managers in Nebraska right now include HDR, RailPros, and Klute, based on current listings on Migrate Mate as of September 2026. Nebraska's mix of advanced manufacturing, defense contracting, and agricultural technology means engineering management roles appear across a wide range of company sizes and sectors throughout the state.
Which Nebraska cities have the most engineering manager jobs?
Omaha, Lincoln, and Nebraska have the most engineering manager openings in Nebraska. Omaha leads because of its concentration of corporate headquarters, defense contractors, and large infrastructure employers, while Lincoln's university research ecosystem and state government operations generate steady demand, and smaller metros like Grand Island and Kearney draw openings from food processing and energy companies headquartered in those corridors.
Are there remote engineering manager jobs in Nebraska?
Yes, but they're less common than in purely desk-based fields, since engineering managers often need to be present on the floor, at project sites, or with their teams in person. About 50% of engineering manager openings tied to Nebraska are remote or hybrid as of September 2026, and those tend to cluster in software-adjacent or systems engineering functions where team oversight and design review can happen effectively online.
How can I get hired as a engineering manager in Nebraska with little or no experience?
The most realistic entry path is moving laterally from a senior individual-contributor engineering role into a lead or project engineer position, which is how most Nebraska employers structure the transition into management. Large manufacturers like Valmont Industries and food processing companies in the Grand Island corridor regularly hire project engineers and technical leads who take on informal team oversight before moving into formal management titles. Pursuing your Professional Engineer license through the Nebraska State Board of Engineers and Architects while in that lead role makes the step up significantly more competitive.
Where can I find and apply to engineering manager jobs in Nebraska?
You can find and apply to engineering manager jobs in Nebraska on Migrate Mate, which lists current openings from employers hiring in the state right now. Find the roles that fit your background and apply directly to the ones that match.
See All 15 Engineering Manager Jobs in Nebraska
Find roles in Nebraska that match your experience and apply in just a few clicks.
Find Engineering Manager Jobs