Amazon has built a reputation for excellence, consistently ranked among the most customer-centric and trusted companies. At the Process Excellence Organization, we are committed to delivering a seamless experience to our internal customers through LLM, GenAI, data-driven solutions and process automation. We are seeking a Process Excellence Expert to lead strategic process improvements, drive automation initiatives, and leverage analytics to enhance operational efficiency. This role will work with multiple departments.
and requires close collaboration with cross-functional teams—including Technology & Product, HR, Operations, and Business—to lead high-impact projects. The ideal candidate is a tech-savvy problem solver with a passion for Lean methodologies, automation, and analytics to eliminate inefficiencies and scale processes.
Key job responsibilities
- Identify and drive process automation, GenAI/Agentic AI, ML solutions, and analytics-based improvement opportunities for service operations across geographies.
- Work closely with Product & Tech partners to share crucial insights, prioritize initiatives, influence roadmaps, and drive efficiency.
- Develop and implement data-driven models (descriptive and inferential) to generate insights for leadership decision-making while ensuring end-to-end ownership of deliverables.
- Design and optimize Business Intelligence (BI) solutions, improving visibility into operational metrics.
- Lead Lean Six Sigma initiatives to enhance efficiency and eliminate waste.
- Identify automation opportunities and oversee their end-to-end execution.
- Develop frameworks to collect, analyze, and prioritize feedback from operations teams for high-impact initiatives.
- Drive project lifecycle execution using structured methodologies such as DMAIC (Define, Measure, Analyze, Improve, Control).
- Establish mechanisms to measure pre- and post-project performance, ensuring long-term sustainability.
- Manage global stakeholder engagement across multiple business functions, ensuring seamless execution and adoption.
- Deliver strategic documentation and reports to senior leadership, providing clear insights and recommendations.
- Influence key business decisions through quantitative and qualitative data analysis.
- Handle ambiguity with structured problem-solving and scalable solutions.
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