Logistics Process Improvement

JD.COM.INC

Hong Kong

Sur place

HKD 480 000 - 720 000

Plein temps

Il y a 3 jours
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Résumé du poste

JD.COM.INC in Hong Kong seeks an analytical and hands-on Logistics Process Improvement Specialist/Manager to drive continuous operational excellence across warehousing, sorting hubs, linehaul, and last-mile delivery. You will diagnose bottlenecks, redesign workflows, and collaborate with IT teams to enhance fulfillment efficiency, service quality, and cost-effectiveness.

Responsibilities include end-to-end process diagnosis, SOP governance, lean optimization, system enablement, and

Qualifications

  • Bachelor’s degree in Logistics, IE, SCM, Business Admin or related field.
  • 3–5 years in process improvement, industrial engineering, or operations management.
  • Strong command of Lean, Six Sigma (Green/Black Belt a plus).
  • Analytical mindset with proficiency in Excel, SQL and BI tools.

Responsabilités

  • Diagnose end-to-end logistics process bottlenecks across HK network.
  • Redesign workflows and standardize SOPs for all nodes.
  • Lead Lean/ Six Sigma initiatives to improve productivity and costs.
  • Translate frontline issues into IT/automation requirements and support UAT.
  • Collaborate with cross-functional teams and report ROI to leadership.

Connaissances

Lean
Six Sigma
Data-driven decision-making
MS Excel
SQL
BI tools

Formation

Bachelor's degree in Logistics or related field

Outils

Power BI
Tableau
WMS
TMS

Description du poste

We are seeking an analytical and hands-on Logistics Process Improvement Specialist/Manager to drive continuous operational excellence across our end-to-end Hong Kong logistics network. Covering warehousing, sorting hubs, linehaul transit, and last-mile delivery, this role will diagnose operational bottlenecks, redesign workflows, establish Standard Operating Procedures (SOPs), and partner with technology teams to enhance fulfillment efficiency, service quality, and cost-effectiveness.

Key Responsibilities

End-to-End Process Diagnosis & Redesign: Conduct deep-dive analyses across pickup, hub sorting, transit, and last-mile delivery operations to identify process bottlenecks, redundancies, and root causes of operational exceptions, designing scalable workflow improvements.

SOP Standardization & Governance: Develop, refine, and standardize SOPs across all operational nodes; collaborate with operations and training teams to drive on-site adoption and conduct regular process compliance audits.

Lean Operations & Cost Optimization: Lead continuous improvement initiatives using Lean and Six Sigma methodologies to optimize facility layout, labor productivity (UPH), and fleet utilization, while reducing parcel damage, loss rates, and cost-per-order.

System & Automation Enablement: Translate frontline operational pain points into clear business requirements for IT and product teams (e.g., WMS, TMS, PDA workflows, and routing algorithms); support UAT, rollout, and post-launch performance evaluation.

Cross-Functional Improvement & Reporting: Partner with field operations, control tower dispatch, customer service, and customs teams to execute Corrective and Preventive Actions (CAPA) for underperforming regions/grids, delivering regular ROI and performance impact reports to leadership.

Requirements

Education & Experience: Bachelor's degree in Logistics, Industrial Engineering (IE), Supply Chain Management, Business Administration, or a related discipline. At least 3–5 years of experience in process improvement, industrial engineering, or operations management within express delivery, e-commerce logistics, 3PL, or automated fulfillment centers.

Methodologies & Project Management: Solid command of Lean, Six Sigma (Green Belt or Black Belt certification is a strong plus), and Business Process Re-engineering (BPR) tools, with a proven track record of leading cross-functional improvement projects from design to execution.

Analytical & Problem-Solving Skills: Strong quantitative skills with proficiency in MS Excel, SQL, and BI tools (e.g., Power BI, Tableau) to conduct time-motion studies, productivity modeling, and data-driven root cause analysis.

System Acumen & Frontline Mindset: Working knowledge of WMS and TMS operational logic. Willingness to spend time on the ground at sorting hubs and delivery stations to observe workflows firsthand and design practical solutions.

Communication & Languages: Exceptional stakeholder management and influencing skills. Fluent in Cantonese and Mandarin (essential for liaising with local Hong Kong frontline teams and regional/mainland tech counterparts), with strong English reading and writing proficiency.

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