Sr. Process Innovation Specialist

Senior
CompanyCoupang Internal
LocationTaipei, Taiwan
Category-
DepartmentRFC Fulfillment
SenioritySenior
Workplace-
Posted2026-09-17
Viagreenhouse

Description

Job Summary

Drive data-driven process innovation across fulfillment and warehouse operations by applying analytical thinking, structured problem-solving, and continuous improvement methodologies. Partner with cross-functional teams to identify opportunities, influence decisions, and deliver scalable solutions that improve productivity, quality, and operational efficiency.

Key Responsibilities

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Analyze operational data to identify process bottlenecks, inefficiencies, and improvement opportunities across warehouse operations.

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Apply structured problem-solving and root cause analysis to design and implement sustainable process improvements.

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Collaborate with Operations, Product, Engineering, and other stakeholders to align priorities and drive optimization initiatives.

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Develop KPIs, dashboards, and reports to support data-driven decision-making and effectively communicate performance insights.

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Lead cross-functional projects and pilot programs from concept through implementation, ensuring measurable business impact.

Basic Qualifications

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Bachelor's degree in Industrial Engineering, Engineering, or a related field.

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3+ years of experience in process improvement, operations excellence, supply chain, logistics, or fulfillment center operations.

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Strong analytical and logical reasoning skills with the ability to solve complex operational problems using data.

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Strong understanding of KPI development, root cause analysis, process mapping, and workflow optimization.

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Proven ability to collaborate with cross-functional stakeholders, influence decisions, and drive execution in a fast-paced environment.

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Strong verbal and written communication skills in English.

Preferred Qualifications

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Experience performing large-scale data analysis using SQL, Excel, Python, R, or similar analytical tools.

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Experience with simulation, optimization modeling, or operations research techniques.

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Familiarity with warehouse management systems (WMS), automation technologies, and operational analytics platforms.

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Experience leading cross-functional projects from concept through implementation.

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Demonstrated ability to translate complex data into actionable business insights.