Lead Process Engineer

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

Required Skills & Qualifications:

• 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