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Lead Process Engineer

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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


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