Amazon Dev Center India
Human Resources, global corporate
ProcessExcellenceExpert
Neural analysis suggests this role is
optimal for Senior candidates.
“Process Excellence Expert at Amazon Dev Center India. Skills: Process excellence, Automation, Analytics. Identify and drive process automation. Drive GenAI/Agentic AI, ML solutions”
What You'll Achieve.
Enhance operational efficiency; Eliminate inefficiencies; Scale processes; Improve visibility into operational metrics; Enhance efficiency; Eliminate waste; Ensure long-term sustainability
Industry & Context.
Structured problem-solving; Data-driven decision making
What They're Looking For.
Must Have
Six Sigma Black Belt, 4+ years managing, analyzing, and communicating results, 5+ years creating process improvements with automation and analysis, Master's degree or equivalent, Experience communicating and handling cross-functional programs
Nice to Have
Knowledge of AWS platforms, Experience relying on analytics and data to cultivate deep customer empathy, Shape product decisions and track effectiveness of change
What You'll Do.
Identify and drive process automation
Drive GenAI/Agentic AI
Drive analytics-based improvement opportunities
Work closely with Product & Tech partners
Share crucial insights
Prioritize initiatives
Develop data-driven models
Generate insights for leadership decision-making
Ensure end-to-end ownership of deliverables
Design and optimize BI solutions
Improve visibility into operational metrics
Lead Lean Six Sigma initiatives
Identify automation opportunities
Oversee automation execution
Develop frameworks to collect feedback
Analyze and prioritize feedback
Drive project lifecycle execution
Establish mechanisms to measure performance
Ensure long-term sustainability
Manage global stakeholder engagement
Ensure seamless execution and adoption
Deliver strategic documentation and reports
Provide clear insights and recommendations
Influence key business decisions
Handle ambiguity with structured problem-solving
Develop scalable solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Product & Tech partners; Operations teams; Global stakeholders
Communication Scope
Communicating results; Deliver reports; Provide recommendations
Process & Methodology
DMAIC, Project lifecycle execution
Full Job Description
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 mul
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