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Process Integration Manager Jobs in Iowa (NOW HIRING)

Lightedge

Sr. AI Integration Engineer

Des Moines, IA · On-site

$101K - $136K/yr

... processes and cross-functional execution. * AI Agent & Workflow Lifecycle Management: Own the end ... System Integration: Build and support integrations across enterprise systems such as ServiceNow ...

Lincoln Electric

Integration Technician

Bettendorf, IA · On-site

$18 - $24/hr

... of processes including welding, cutting, brazing, machining, process automation, and field repair ... Excellent team player with organizational and time management skills; * Safely operate fork trucks ...

mlp

Quality Manager

Elliott, IA · On-site

The QM oversees all aspects of the quality function, including the integrated management system ... Oversee the corrective and preventive action (CAPA) process specific to Customer Complaints ...

mlp

Quality Manager

Elliott, IA · On-site

The QM oversees all aspects of the quality function, including the integrated management system ... Oversee the corrective and preventive action (CAPA) process specific to Customer Complaints ...

mlp

Quality Manager

Elliott, IA

The QM oversees all aspects of the quality function, including the integrated management system ... Oversee the corrective and preventive action (CAPA) process specific to Customer Complaints ...

Meta

Site Logistics Operations Lead

Altoona, IA

$115K/yr

This candidate will partner and work closely with the other IBOS Site Leaders, Regional Managers, IBOS Central, and Process Integration while working cross-functionally with internal customers ...

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Process Integration Manager information

What is a process integration manager?

Process Integration Managers are professionals responsible for coordinating and optimizing business processes across different departments or systems within an organization. Their main goal is to ensure that workflows, technologies, and teams work together seamlessly to improve efficiency, reduce costs, and achieve strategic objectives. They often analyze existing processes, identify areas for improvement, and oversee the implementation of integrated solutions. These managers play a crucial role in bridging gaps between operations, IT, and business units to drive organizational success.

What are the key skills and qualifications needed to thrive as a process integration manager?

To thrive as a Process Integration Manager, you need a solid background in process engineering, project management, and a relevant degree in engineering or a related field. Experience with process mapping tools, ERP systems (such as SAP), and certifications like Six Sigma or PMP are commonly required. Strong analytical thinking, leadership, and excellent communication skills help in aligning cross-functional teams and driving process improvements. These abilities are crucial for ensuring seamless integration of processes, maximizing efficiency, and achieving organizational goals.

What are the most common cross-functional collaborations for a process integration manager, and how do they impact daily responsibilities?

Process Integration Managers frequently collaborate with engineering, manufacturing, quality assurance, and IT teams to streamline workflows and optimize production processes. These interactions often involve coordinating meetings, troubleshooting process bottlenecks, and implementing new technologies or standards across departments. Effective communication and strong project management skills are essential, as the role requires balancing multiple priorities and ensuring alignment among diverse teams. This cross-functional work environment not only enhances daily problem-solving but also offers opportunities to broaden one’s expertise and advance into higher leadership roles.

What is the difference between Process Integration Manager vs Process Engineer?

AspectProcess Integration ManagerProcess Engineer
CredentialsBachelor's or Master's in Engineering, often with project management certificationsBachelor's or Master's in Chemical, Mechanical, or Industrial Engineering
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, strategic planningFocuses on designing, analyzing, and optimizing specific processes
Industry UsageCommon in manufacturing, chemical, and energy sectorsWidely used across similar industries for process development

The Process Integration Manager typically oversees multiple process projects, focusing on strategic coordination and integration, while the Process Engineer concentrates on designing and optimizing individual processes. Both roles require engineering backgrounds, but the manager's role is more managerial and strategic, whereas the engineer's role is more technical and hands-on.

What are popular job titles related to Process Integration Manager jobs in Iowa?

For Process Integration Manager jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Process Integration Manager jobs in Iowa look for?

The top searched job categories for Process Integration Manager jobs in Iowa are:

What cities in Iowa are hiring for Process Integration Manager jobs?

Cities in Iowa with the most Process Integration Manager job openings:

Process Integration Manager jobs near you

Sr. AI Integration Engineer

Lightedge

Des Moines, IA • On-site

$101K - $136K/yr

Full-time

Re-posted 27 days ago

Job description

LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs.
If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility.

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position is an execution partner to AI architecture leadership, helping translate agentic design concepts and approved business needs into production-ready AI agents, automations, and integrations that improve workflow execution, operational efficiency, and decision support.

The ideal candidate combines strong software engineering and systems integration skills with practical experience delivering AI-enabled workflows in business environments. This person must be comfortable working directly with stakeholders to gather requirements, refine scope, and iterate quickly, while also owning a backlog of business-facing AI workflows and serving as the primary technical owner for those workflows once they move into production.

Key Responsibilities
  • AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents, harnesses, workflows, services, and integrations that support internal business processes and cross-functional execution.
  • AI Agent & Workflow Lifecycle Management: Own the end-to-end lifecycle of AI agents and AI-driven workflows, from intake and requirements shaping through production readiness, deployment, monitoring, support, periodic review, and continuous improvement.
  • Stakeholder Partnership: Work directly with internal teams to gather requirements, refine scope, collect feedback, and translate business needs into practical AI-enabled workflow solutions.
  • Owned Backlog: Maintain and execute a backlog of high-value business-facing AI workflows and automations that align with Lightedge priorities across operations, support, sales, and other internal functions.
  • System Integration: Build and support integrations across enterprise systems such as ServiceNow, Salesforce, portals, APIs, middleware, and other workflow platforms used by the business.
  • Production Ownership: Serve as the primary technical owner for AI workflows once they move from prototype into production, unless and until a deliberate transition to another long-term owner is defined.
  • Operational Support: Provide first-level support for production AI workflows that support critical business processes, including monitoring, issue triage, defect resolution, incident coordination, and early-life stabilization.
  • Controls and Readiness: Implement the controls required for safe production adoption, including testing, evaluation, observability, secrets handling, approval steps, rollback planning, and change-management alignment.
  • Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and implementation standards for AI-enabled workflow delivery.
  • Optimization: Monitor, evaluate, and optimize the accuracy, reliability, cost, and business effectiveness of deployed AI workflows and integrations.
  • Documentation: Maintain clear technical documentation, workflow diagrams, runbooks, support notes, and production-readiness artifacts for delivered solutions.
  • Cross-Functional Collaboration: Partner with AI architecture, Security, Compliance, IT, Operations, and platform teams to ensure AI workflows are secure, supportable, and aligned with governance requirements.
  • Communications: Regularly communicate delivery status, risks, support needs, and business impact to stakeholders and leadership.
  • Architecture Contribution: Contribute implementation insight and field feedback into broader AI design and governance decisions, while not serving as the primary owner of enterprise AI strategy or architecture.
Required Qualifications
  • Experience building and supporting production workflow integrations across enterprise systems such as ServiceNow, Salesforce, APIs, middleware, and related business platforms.
  • Experience taking prototypes, proofs of concept, or citizen-developed automations into governed production environments with appropriate controls, reliability, and supportability.
  • Experience supporting production applications, integrations, or automations with direct operational ownership responsibilities.
  • Working knowledge of security, access controls, logging, monitoring, and change-management practices for business-critical systems.
  • Strong proficiency in Python for AI integrations, workflow automation, and data processing.
  • Experience with one or more of JavaScript/TypeScript, Java, or C# for API and application development.
  • Experience building and supporting APIs, microservices, distributed systems, and CI/CD pipelines.
  • Experience translating business requirements into production-ready technical workflows and integrations.
  • Experience evaluating AI outputs, prompt behavior, workflow quality, and operational reliability before production release.
  • Experience deploying and supporting production systems in cloud environments such as AWS, Azure, or GCP.
  • Ability to work directly with stakeholders to gather requirements, define scope, and iterate based on feedback.
  • Excellent communication skills and ability to translate technical decisions into business impact.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of relevant experience in software engineering, systems integration, workflow automation, or AI-enabled application delivery.
Preferred Qualifications
  • Experience integrating AI-enabled workflows into ServiceNow, Salesforce, or similar enterprise platforms.
  • Experience building LLM-based applications, agents, or workflow automations using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools.
  • Experience developing AI-powered assistants, copilots, or intelligent automation workflows used by business teams.
  • Experience with prompt engineering, evaluation, and tuning of generative AI systems in production contexts.
  • Experience with Kubernetes and container-based deployment models.
  • Experience with MCP-style integration patterns, orchestration layers, or agent-accessible tool frameworks.
  • Experience with SQL and working with operational or analytics data across enterprise platforms.
  • Familiarity with vector databases, RAG pipelines, and workflow patterns that combine structured system context with LLM reasoning.
  • Familiarity with observability, support runbooks, and incident response practices for automation or integration services.
  • Experience with enterprise LLM platforms including ChatGPT, Claude, Gemini, Copilot, or similar tools.
  • Previous experience owning a backlog of automation or AI workflow enhancements for internal business users.
Success Metrics
  • Timely delivery of production-ready AI workflows that move approved use cases from prototype into governed production.
  • Reduction in manual work, cycle time, or support effort through well-integrated AI automations.
  • Reliable operation and first-level support of AI workflows that support critical business processes.
  • Strong stakeholder adoption and satisfaction across the internal teams using delivered AI workflows.
  • Clear business ROI from deployed AI workflows and automations.
  • Growth of a prioritized backlog of business-facing AI workflows aligned to Lightedge objectives.
With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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