Job description
We are looking for a highly analytical Lead Process Engineer to drive operational excellence and process transformation within lending operations. The role involves leveraging advanced statistical methods, process intelligence, and AI-assisted tools to improve efficiency, reduce variation, and enable scalable business operations.
This position also includes mentoring junior team members while collaborating 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 Requirements 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