Process Optimization Engineer

Forrest T. Jones & Company; Kansas City (MO); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

STD/LTD/Life insurance

Dental insurance

Vision insurance

401(k) with company matching

Paid time off

Job summary

Forrest T. Jones & Company seeks an AI Process Optimization Engineer to identify and improve business processes using AI, automation, and data analytics.

You will work with stakeholders, IT, and data professionals to evaluate AI opportunities, develop intelligent process solutions, and ensure measurable business value from AI initiatives. The role involves applying Lean and Six Sigma, developing process maps, and building dashboards to track performance while integrating AI into enterprise

Qualifications

• Bachelor's degree in a related field.
• 3–7 years of experience in process improvement, industrial engineering, business systems, analytics, or related disciplines.
• Experience with BPM methodologies.
• Knowledge of AI, Machine Learning, Generative AI, or intelligent automation technologies.
• Experience using data analysis and visualization tools.
• Strong analytical and problem‑solving skills.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Analyze end-to-end business processes to identify inefficiencies and opportunities for optimization.
• Apply Lean, Six Sigma, Industrial Engineering, and continuous improvement methodologies.
• Develop process maps, workflow diagrams, and value stream analyses.
• Establish baselines and track improvement metrics.
• Evaluate and implement AI technologies to improve operational efficiency.
• Identify use cases for Machine Learning, Generative AI, Intelligent Document Processing, and Predictive Analytics.
• Partner with the BPMO team to design, test, and deploy AI-powered solutions.
• Develop business cases supporting AI investments and transformation initiatives.
• Analyze data to uncover trends and opportunities; create dashboards and reporting tools.
• Use predictive and prescriptive analytics to improve planning and decision-making.
• Ensure data integrity and governance standards.
• Identify opportunities to integrate AI into enterprise systems.
• Support system enhancement projects and digital transformation programs.
• Assist with requirements gathering, solution design, and user acceptance testing.
• Educate stakeholders on AI opportunities and capabilities.
• Support organizational readiness and adoption of AI-enabled processes.
• Develop training materials and best practices for AI utilization.
• Monitor solution effectiveness and drive continuous improvements.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Education

Bachelor's degree in Business Analytics, Computer Science, Industrial Engineering, Systems Engineering, Operations Management, or related field

Bachelor’s in data science, Business Analytics, Industrial Engineering, AI, or related field

Tools

Power BI

SQL

Process Mining (Celonis | Microsoft Process Advisor)

Microsoft Power Platform

Azure AI

Job description

Forrest T. Jones & Company, Inc., and its affiliates ("FTJ"), provide insurance‑related services to clients, corporations, employers and individuals. These services include providing benefits through innovative life and health insurance plans, financial services, and customized insurance products for niche markets.

Position Summary

The AI Process Optimization Engineer is responsible for identifying, analyzing, and improving business processes through the application of Artificial Intelligence (AI), automation technologies, and data analytics. This role bridges operational excellence, business systems, and emerging AI capabilities to drive efficiency, reduce costs, improve quality, and enhance decision‑making across the organization.

The position works closely with business stakeholders, IT teams, data professionals, and operational leaders to evaluate opportunities for AI adoption, develop intelligent process solutions, and ensure measurable business value from AI‑enabled initiatives.

Key Responsibilities

Process Analysis and Improvement

• Analyze end-to-end business processes to identify inefficiencies, bottlenecks, and opportunities for optimization.
• Apply Lean, Six Sigma, Industrial Engineering, and continuous improvement methodologies.
• Develop process maps, workflow diagrams, and value stream analyses.
• Establish performance baselines and track improvement metrics.

AI and Automation Solutions

• Evaluate and implement AI technologies to improve operational efficiency.
• Identify use cases for Machine Learning, Generative AI, Intelligent Document Processing, Predictive Analytics, and Process Mining.
• Partner with the BPMO team to design, test, and deploy AI‑powered solutions.
• Develop business cases supporting AI investments and transformation initiatives.

Data Analytics and Decision Support

• Analyze operational and business data to uncover trends and improvement opportunities.
• Create dashboards and reporting tools that measure process performance.
• Use predictive and prescriptive analytics to improve planning and decision‑making.
• Ensure data integrity and governance standards are maintained.

Business Systems Integration

• Identify opportunities to integrate AI capabilities into existing enterprise systems.
• Support system enhancement projects and digital transformation programs.
• Assist with requirements gathering, solution design, and user acceptance testing.

Change Management and Adoption

• Educate business stakeholders on AI opportunities and capabilities.
• Support organizational readiness and adoption of AI‑enabled processes.
• Develop training materials and best practices for AI utilization.
• Monitor solution effectiveness and recommend continuous improvements.

Required Qualifications

• Bachelor's degree in Business Analytics, Computer Science, Industrial Engineering, Systems Engineering, Operations Management, or related field.
• 3–7 years of experience in process improvement, industrial engineering, business systems, analytics, or related disciplines.
• Experience with Business Process Management (BPM) methodologies.
• Knowledge of AI, Machine Learning, Generative AI, or intelligent automation technologies.
• Experience using data analysis and visualization tools.
• Strong analytical and problem‑solving skills.
• Excellent communication and stakeholder management abilities.

Preferred Qualifications

• Bachelor’s in data science, Business Analytics, Industrial Engineering, AI, or related field.
• Lean Six Sigma Green Belt or Black Belt certification.
• Experience with Microsoft Copilot, Azure AI, Power Platform, Power BI, or similar AI/automation platforms.
• Knowledge of Process Mining tools such as Celonis or Microsoft Process Advisor.
• Experience leading digital transformation initiatives.
• Familiarity with change management methodologies.

Technical Skills

• Process Mapping and Process Mining
• Lean Manufacturing / Lean Operations
• Six Sigma Methodologies
• Statistical Analysis
• Data Analytics and Visualization
• Power BI
• SQL
• Process Automation (RPA)
• Generative AI Technologies
• Machine Learning Fundamentals
• Prompt Engineering
• Microsoft Power Platform
• ERP and Business Systems Integration
• Project Management

Competencies

• Strategic Thinking
• Innovation and Continuous Improvement
• Business Acumen
• Data-Driven Decision Making
• Systems Thinking
• Collaboration and Influence
• Change Leadership
• Problem Solving
• Communication and Presentation Skills

We offer comprehensive benefits to full‑time employees including company‑paid medical, STD, LTD and life insurance plus voluntary dental, vision, life/AD&D insurance, 401(k) with company matching, generous paid time off and much more.

We encourage applicants of all ages and experience, as we do not discriminate on the basis of an applicant’s age.

ALL OFFERS OF EMPLOYMENT ARE CONTINGENT UPON THE PASSING OF A DRUG SCREEN AND BACKGROUND CHECK.