Lead Process Engineer

As a Lead Process Engineer, you will play a crucial role in driving operational excellence and process transformation within lending operations. You will leverage advanced statistical methods, process intelligence, and AI-assisted tools to enhance efficiency, reduce variation, and enable scalable business operations. Additionally, you will mentor junior team members and collaborate with cross-functional stakeholders. Key Responsibilities: - Lead end-to-end process improvement initiatives using DMAIC methodology - Apply statistical analysis, DoE, and SPC techniques to enhance process performance - Design and optimize operational workflows across lending value streams - Build and maintain process intelligence dashboards for real-time insights - Conduct FMEA-based risk assessments and implement mitigation strategies - Drive AI-assisted process improvements using GenAI tools and automation frameworks - Perform capacity forecasting and time series modeling for scaling operations - Collaborate with Product, Data, and Operations teams for transformation initiatives - Present ROI-driven insights and business cases to senior stakeholders - Mentor and develop Process Analysts and Junior Engineers Qualifications Required: - 7-9 years of experience in process engineering, quality engineering, or operations improvement - Strong expertise in Lean Six Sigma methodologies (DMAIC execution experience mandatory) - Hands-on experience in statistical tools: DoE, SPC, regression, hypothesis testing - Experience with process mining/intelligence tools (Power BI, Celonis, etc.) - Proven experience in FMEA and risk assessment frameworks - Strong capability in capacity planning and time series forecasting - Exposure to AI/GenAI tools in operational environments - Proficiency in Excel (advanced), Python or Minitab, and data visualization tools - Strong stakeholder management and communication skills In case of any additional details provided in the job description, they were not included in the provided content. As a Lead Process Engineer, you will play a crucial role in driving operational excellence and process transformation within lending operations. You will leverage advanced statistical methods, process intelligence, and AI-assisted tools to enhance efficiency, reduce variation, and enable scalable business operations. Additionally, you will mentor junior team members and collaborate with cross-functional stakeholders. Key Responsibilities: - Lead end-to-end process improvement initiatives using DMAIC methodology - Apply statistical analysis, DoE, and SPC techniques to enhance process performance - Design and optimize operational workflows across lending value streams - Build and maintain process intelligence dashboards for real-time insights - Conduct FMEA-based risk assessments and implement mitigation strategies - Drive AI-assisted process improvements using GenAI tools and automation frameworks - Perform capacity forecasting and time series modeling for scaling operations - Collaborate with Product, Data, and Operations teams for transformation initiatives - Present ROI-driven insights and business cases to senior stakeholders - Mentor and develop Process Analysts and Junior Engineers Qualifications Required: - 7-9 years of experience in process engineering, quality engineering, or operations improvement - Strong expertise in Lean Six Sigma methodologies (DMAIC execution experience mandatory) - Hands-on experience in statistical tools: DoE, SPC, regression, hypothesis testing - Experience with process mining/intelligence tools (Power BI, Celonis, etc.) - Proven experience in FMEA and risk assessment frameworks - Strong capability in capacity planning and time series forecasting - Exposure to AI/GenAI tools in operational environments - Proficiency in Excel (advanced), Python or Minitab, and data visualization tools - Strong stakeholder management and communication skills In case of any additional details provided in the job description, they were not included in the provided content.