Asia Process Innovation Specialist

LX PANTOS SINGAPORE PTE. LTD.Singaporemycareersfuturepublished 10/13/2026
Must-have:DataLead

Role Overview Members of the Asia Process Innovation (P/I) Team are responsible for new site setup, operational stabilization, productivity improvement, standard process development, Process Innovation project leadership and data-driven tool & dashboard development across logistics centers in the Asia Region. The role collaborates closely with the HQ PI team and Overseas Operations Support Team to build Regional PI capability and operational excellence. As on-site support across multiple countries is required, mid- to long-term overseas travel (1 month or longer) may be required, and candidates must have no restrictions on international travel. Key Responsibilities & Detailed Duties A. New Site Setup & Operational Stabilization Lead end-to-end operational preparation based on the Setup Checklist Design detailed operational processes and define SOPs/Wis Develop and deliver on-site operational manuals (SOPs, Work Instructions) Validate layout & workflow and calculate manpower capacity Review equipment specifications and required quantities Conduct WMS/MES UAT and verify parameter settings Validate capacity for initial inbound/outbound volumes Perform root-cause analysis on early operational issues and implement improvements Establish initial KPI baselines and manage the Setup Action Tracker B. Operations Governance System Establish KPI frameworks focused on productivity, quality, and cost Develop productivity models (STD Time, UPH, Cost/Unit) Manage quality KPIs and drive Fail Cost Zero Build industry-specific standard processes and expand Paperless operations Maintain and standardize operational manuals (SOPs/WIs) across centers Perform gap analysis between actual operations and manuals Identify inefficiencies and drive process improvement Transfer HQ PI best practices to regional centers Develop dashboards and establish monitoring systems for daily–monthly operations C. Productivity Analysis & PI Improvement Activities Conduct data-driven productivity, quality, and lead-time analyses Identify bottlenecks and execute workflow/labor optimization Evaluate and introduce automation/digital solutions (AMR, PDA, tablets, etc.) Measure improvement impacts and report results regularly D. Digital & Data Enablement (Tools & Dashboards)  1) Operational Tool Development Develop automation and analysis tools using Power BI, Tableau, Excel (VBA/Power Query),ETC Build tools for auto-performance aggregation, productivity calculations, worker evaluation, and shipping risk detection Create exception-data validation tools and automated reporting functions  2) Dashboard Development & Management Build productivity, quality, cost, and lead-time dashboards Maintain daily/weekly/monthly operational dashboards Standardize data models and manage automated refresh cycles Trainsite teams to improve dashboard utilization  3) Data-Driven Decision Support Conduct time-series, variability, and cross-site analyses Identify improvement opportunities and support KPI-driven decisions Analyze ROI for automation solutions (AMR, conveyor, sorter, etc.) E. Regional PI Excellence Lead the Asia PI Circle (weekly operations sync & monthly PI forum) Share and scale best practices across regional sites Manage PI action trackers and performance follow-up Conduct PI capability leveling, training, and maturity assessments Maintain the PI Knowledge Hub for SOPs, best practices, and improvement cases F. Collaboration with HQ & Regional Centers Collaborate with HQ PI and Overseas Operations Support teams on Setup/PI projects Share customer issues and replicate solutions across sites Support peak-season and large-volume operations Align operational execution with local center operations teams Requirements: Min. Diploma in Operations/Logistics Management, Business Management or equivalent. At least 3~4 years of relevant experience in process innovation, project management or similar role. Well-versed in Microsoft Excel applications. Self-motivated and with a drive for continuous improvement. Preferably with working experience in Logistics industry.