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Business Process Modeler Jobs (NOW HIRING)

MonoSol

Process Modeler

Chicago, IL · On-site

We're looking for an experienced process scientist or engineer with a strong foundation in first-principles modeling and chemical engineering to accelerate how we scale products and evaluate process ...

MM International

Business Process Analyst

Las Vegas, NV · On-site

$58K - $78K/yr

Develop and document process models, including As-Is and To-Be workflows, using process mapping tools. Requirements Gathering: Collaborate with stakeholders to gather, define, and prioritize business ...

bwp

Business Process Analyst (Process Modeling)

Houston, TX

$58K - $78K/yr

... business analysis, or operational excellence roles. * Demonstrated track record of redesigning processes, and not just documenting them, with measurable outcomes. * Proficiency in process modeling ...

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Business Process Modeler information

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How much do business process modeler jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for business process modeler in the United States is $65.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $100.00 per hour, depending on experience, location, and employer.

What is the difference between Business Process Modeler vs Business Analyst?

AspectBusiness Process ModelerBusiness Analyst
Primary FocusCreating visual process models and workflowsAnalyzing business needs and requirements
Skills & CertificationsProcess modeling, BPMN, UML, process mapping toolsRequirements gathering, stakeholder communication, data analysis
Work EnvironmentProcess improvement teams, BPM software environmentsProject teams, client meetings, cross-departmental collaboration
Industry UsageBusiness process management, operations, ITBusiness analysis, project management, consulting

While both roles involve understanding business operations, the Business Process Modeler specializes in creating visual process diagrams, whereas the Business Analyst focuses on gathering requirements and analyzing business needs. Both roles often collaborate to improve organizational efficiency but serve distinct functions within projects.

What is a business process modeler?

Business Process Modelers are professionals who analyze, design, and document an organization’s business processes to improve efficiency and effectiveness. They use specialized modeling techniques and tools, such as BPMN (Business Process Model and Notation), to visually map out current and future workflows. Their work helps organizations understand, optimize, and automate processes, leading to better resource allocation and improved performance. Business Process Modelers often collaborate with stakeholders, IT teams, and management to ensure that processes align with business goals.

What are some common challenges faced by business process modelers when working with cross-functional teams?

Business Process Modelers often work closely with teams from different departments, which can present challenges such as aligning diverse priorities, bridging communication gaps, and managing varying levels of process understanding. It's crucial to facilitate clear communication and ensure all stakeholders are on the same page regarding project goals and process changes. Building strong relationships and using visual modeling tools can help address these challenges and ensure successful process improvements.

What are the key skills and qualifications needed to thrive as a business process modeler?

To thrive as a Business Process Modeler, you need a strong understanding of business process analysis, modeling methodologies, and experience with process improvement frameworks, often supported by a degree in business, IT, or a related field. Proficiency with tools like BPMN (Business Process Model and Notation), Visio, ARIS, or similar modeling software is typically required, along with relevant certifications such as CBPP or Six Sigma. Exceptional analytical thinking, attention to detail, and effective communication skills help in collaborating with stakeholders and translating complex processes into clear models. These skills ensure accurate process documentation, enable operational efficiencies, and drive successful organizational transformation.
More about Business Process Modeler jobs
What cities are hiring for Business Process Modeler jobs? Cities with the most Business Process Modeler job openings:
What are the most commonly searched types of Business Process Modeler jobs? The most popular types of Business Process Modeler jobs are:
What states have the most Business Process Modeler jobs? States with the most job openings for Business Process Modeler jobs include:
What job categories do people searching Business Process Modeler jobs look for? The top searched job categories for Business Process Modeler jobs are:
What are popular job titles related to Business Process Modeler jobs? For Business Process Modeler jobs, the most frequently searched job titles are:
Business Process Modeler jobs near you
Infographic showing various Business Process Modeler job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $136,810 per year, or $65.8 per hour.

Process Modeler

MonoSol

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

MonoSol rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

We're looking for an experienced process scientist or engineer with a strong foundation in first-principles modeling and chemical engineering to accelerate how we scale products and evaluate process changes across R&D and manufacturing. You will build and validate mechanistic and hybrid models that capture the physics of our materials and processes enabling faster, smarter decisions from pilot through full-scale production. This role sits at the intersection of engineering fundamentals, computational modeling, and real-world manufacturing impact.
As a senior individual contributor, you'll lead the development of process models that simulate, predict, and de-risk scale-up, reducing our reliance on trial-and-error and compressing the time from formulation to production. You'll work closely with process engineers, R&D scientists, and our data science team to connect physics-based understanding with data-driven approaches, building toward hybrid models and digital twins that can be deployed across our manufacturing network.
We're building new capabilities and we want people who are energized by that. Beyond building models, you'll help define how process modeling is practiced across the organization by establishing scalable methodologies, reusable simulation frameworks, and best practices that raise the bar for how we design, optimize, and transfer processes. This is an opportunity to do technically deep, high-impact work while shaping how modeling and simulation are applied in a materials and manufacturing environment.
Key Responsibilities
Process Modeling & Simulation
  • Develop and validate first-principles and mechanistic models for key unit operations and process systems, capturing the physics of heat transfer, mass transfer, fluid dynamics, and reaction/dissolution kinetics relevant to our materials and processes.

  • Build process flowsheet models using tools like Aspen Plus to simulate end-to-end process behavior and evaluate the impact of process changes, new formulations, and equipment configurations.

Scale-Up & Process Transfer
  • Lead modeling efforts that bridge pilot-scale experiments to manufacturing-scale operations by identifying scale-dependent risks, informing equipment selection, and defining operating windows.

  • Develop scale-up and scale-down frameworks that reduce experimental cycles and accelerate the path from product development to production readiness.

  • Work with the Engineering Technology Center to test and adopt your models into process R&D.

Hybrid Modeling & Digital Twin Development
  • Partner with the data science team to integrate first-principles models with data-driven approaches, building hybrid models that combine physical understanding with empirical learning.

  • Contribute to the development and evolution of digital twins for critical process systems, supporting prediction, optimization, and what-if scenario analysis across the manufacturing network.

Analysis, Visualization & Decision Support
  • Translate complex simulation outputs into clear, actionable engineering recommendations that inform R&D direction, process design, and manufacturing decisions.

  • Develop compelling visualizations and technical narratives that enable cross-functional teams, from scientists to plant leadership, to quickly understand and act on modeling insights.

Methodology, Standards & Capability Building
  • Establish scalable modeling methodologies and reusable simulation workflows that can be applied across products, processes, and manufacturing lines.

  • Act as a technical resource on process modeling best practices by mentoring team members, guiding analytical approaches, and elevating how modeling is used to support decision-making across the organization.

  • Stay current with emerging tools, methods, and computational approaches in process simulation, multiscale modeling, and hybrid/digital twin frameworks.

Qualifications
Education
  • Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Polymer Science, Physics, or a related technical field; Master's or PhD strongly preferred

Experience
  • 5+ years applying process modeling, simulation, or computational engineering to real-world problems in materials, chemicals, polymers, or related manufacturing environments

  • Track record of building mechanistic or first-principles models that informed scale-up decisions, process design, or operational improvements - from model development through validation and deployment

  • Experience bridging pilot-scale and manufacturing-scale operations, with a practical understanding of how process physics changes across scales

Technical Skills
  • Strong proficiency in process simulation tools such as Aspen Plus, Aspen HYSYS, gPROMS, or equivalent flowsheet modeling platforms

  • Solid foundation in transport phenomena, thermodynamics, reaction/dissolution kinetics, and fluid dynamics as applied to process modeling

  • Experience with CFD or finite element analysis tools (e.g., ANSYS Fluent, COMSOL Multiphysics, Star-CCM+) for unit operation or equipment-level modeling

  • Proficiency in Python for custom model development, data analysis, and automation of simulation workflows

  • Experience developing or contributing to hybrid models that integrate physics-based and data-driven approaches (preferred)

  • Familiarity with digital twin concepts, reduced-order modeling, or model deployment in operational environments (preferred)

  • Familiarity with statistical methods, design of experiments (DOE), and uncertainty quantification as applied to model validation and process characterization (preferred)

  • Experience with version control (Git) and reproducible computational workflows

Who you are
  • Strong communicator who can translate complex simulation results into clear engineering recommendations for scientists, process engineers, manufacturing teams, and leadership

  • Comfortable operating in ambiguous, cross-functional environments and taking ownership of high-impact problems without waiting for direction

  • Self-directed senior IC who leads through technical credibility by shaping modeling approaches, driving alignment across teams, and raising the bar for how process knowledge is captured and reused

  • Energized by continuous learning and staying at the forefront of process modeling, simulation, and computational engineering

Additional information
Applicable only to applicants applying to a position in any location with a pay disclosure requirements under state or local law:
  • The compensation range that is described below is the possible base pay compensation that the company believes in good faith that it will pay for this role at the time of posting based on job grade for the position. Individual compensation within this range is based on many factors such as years of experience etc. so the company might pay more or less than the posted range and it is understood that this range may be modified in the future.
  • In addition to base compensation, MonoSol provides a yearly incentive compensation bonus, a profit sharing bonus when eligible, a comprehensive benefits package including medical, dental, vision insurances, short term disability, long term disability, accidental death and dismemberment, term life insurance, voluntary term life insurance, transit flexible spending account (if applicable), employee assistance program, identity theft protection, 401k and paid time off (vacation and sick days)

Compensation range - $130,000.00 - $155,000.00
Incentive Compensation Bonus Target - 10-15%
Paid time off amount - 15 days
CLOSING
The above statements are intended to describe the general nature and level of the work being performed by employees assigned to this position. This is not intended as an exhaustive list of all responsibilities, duties, and skills required. MonoSol, LLC reserves the right to make changes to the job description whenever necessary.
Disclaimer
As part of MonoSol, LLC's employment process, finalist candidates will be required to complete a drug test and background check prior to employment commencing. MonoSol, LLC is an equal opportunity employer. All qualified applicants will be considered without regard to race, national origin, gender, age, disability, sexual orientation, veteran status, or marital status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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