Process Optimization Engineer

Key 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.
• Aid in requirements gathering, solution design, and user acceptance testing.
• Education and Experience

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.
• Leverage 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
• Data-Driven Decision Making
• Systems Thinking
• Collaboration and Influence
• Change Leadership
• Problem Solving
• Communication and Presentation Skills

Benefits

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.