Process Optimization Engineer

Forrest T Jones & Company•Kansas City, MO

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.