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Model Predictive Control Jobs in Iowa (NOW HIRING)

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Model Predictive Control information

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
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Infographic showing various Model Predictive Control job openings in Iowa as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Business Intelligence Analyst, Mission Critical

Ryan Companies

Cedar Rapids, IA • On-site, Remote

$95K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 hours ago


Job description

Job Description:

Ryan Companies has a career opportunity for a Business Intelligence Analyst to support our growing Mission Critical sector. This is an in-office role with an expectation of 4 days in the office, 1 day work-from-home in either our corporate office in Minneapolis or our Des Moines, Iowa office. We would like this candidate to have one or more years of experience in construction, real estate, or related industry with a focus on operations or performance improvement.

With more than 88 years in business and 15 offices (and growing!), Ryan offers comprehensive commercial real estate solutions to customers across the US. We bring a collaborative, relationship-driven approach to delivering spaces where people thrive and businesses succeed. Join a company with an outstanding culture and competitive benefits. At Ryan, we don't just build buildings - we build stories.

What you can expect to do:

Process Improvement & Innovation

  • Engage project teams to conduct root cause analysis to uncover underlying drivers of performance gaps, risk exposure, or execution delays.

  • Design and implement solutions that may include changes to processes, tools, systems, or organizational structures.

  • Develop process for evaluating, piloting, and developing new program capabilities, including a decision-making structure for new project innovations.

  • Lead pilots and full-scale rollouts of new tools (project / field management, reality capture, augmented reality, etc.), workflows, or reporting standards to address performance gaps and ensure lasting adoption.

  • Monitor adoption and performance of implemented changes and adjust strategy based on feedback and measurable impact.

  • Create documentation, SOPs, and training materials to support process standardization and scalability.

  • Strategically collaborate with key trade partners and manufacturers to identify innovation and efficiency opportunities

  • Integrate process improvements into demonstrable value adds for new business pursuits

  • Identify emerging and persistent data center industry challenges and collaborate with sector and other business leaders on deploying initiatives to address these

Data Analytics

  • Identify and analyze operational inefficiencies across development, construction, and corporate functions using internal and external data sources.

  • Initial focus for Mission Critical is Safety, Quality, Commissioning, Procurement, and Scheduling programs.

  • Translate findings into compelling insights using dashboards, visualizations, and executive-ready narratives with clear metrics and data-driven KPIs.

  • Assist in the development, training, and validation of predictive models that support safety forecasting, scheduling optimization, and project risk analysis.

  • Help translate machine learning outputs into actionable insights for construction and safety teams.

  • Translate operational pain points into data requirements to identify collection opportunities with data engineering and field technology teams

  • Partner with client analytics peers to benchmark and report performance. Communicate standards with clarity to internal team members.

  • Function as a bridge between data analytics, technology teams, and operational leadership to ensure integrated solution design.

  • Support quarterly and annual strategic planning cycles with data-backed recommendations for resource allocation and innovation investment.

What we expect you to have:

  • Bachelor's / master's degree in business, Engineering, Data Analytics, or related field.

  • 5-10 years of experience in real estate, construction, or related industry with a focus on operations or performance improvement.

  • Proven experience leading cross-functional initiatives from discovery through implementation and change management.

  • Fluency in data visualization tools (Power BI, Tableau), SQL, and analytics platforms.

  • Effective communication, facilitation, and stakeholder engagement skills.

  • Experience working in highly matrixed or integrated teams.

  • Change management certification or equivalent experience is a plus.

  • Experience with project delivery, scheduling, or cost control tools (e.g., Procore, Smartsheet, Primavera) preferred.

    Compensation:

    The salary range is $95,000 - $120,000. The salary base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.

    Eligibility:

    Position requires verification of employment to work in the U.S.

    Benefits:

    • Competitive Salary

    • Medical, Dental and Vision Benefits

    • Retirement and Savings Benefits

    • Flexible Spending and Health Savings Accounts

    • Life Insurance

    • Short-Term and Long-Term Disability

    • Educational Assistance

    • Paid Time Off (PTO)

    • Employee Assistance and Wellness Programs

    • Parenting Benefits

    • Employee Discount Programs

    • Pet insurance

    • Ryan Foundation - charitable matching funds

    • Paid Time for Volunteer Events

    Disclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document.

    Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


    Notice to Candidates:

    Please be advised that initial outreach regarding employment at Ryan Companies will only occur via email from the domain @ryancompanies.com email address. If you recieve communication from someone you believe is impersonating Ryan Companies, please report it to us at humanresources@ryancompanies.com

    Non-Solicitation Notice to Recruitment Agencies:

    Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.