{"id":234391,"url":"https://alion.io/job/kiabi-manufacturing-excellence-engineer","title":"Manufacturing Excellence Engineer","company":{"id":4146,"name":"Kiabi","domain":"kiabi.com","url":"https://alion.io/company/kiabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambodia"],"countries":["KH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":35000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":8444},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Kanban","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Power BI","optional":false}],"status":"live","first_seen_at":"2026-07-27T01:35:58Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-11-04T20:17:32Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":100},"description":"Established in 1978 in the North of France, KIABI revolutionised off-the-peg fashion with the introduction of low-cost fashion for the whole family, a concept which had never been seen before. With a network of over 505 shops across the world, KIABI boasts a turnover of 2 billion euros (2019) and 2.4% growth. As a symbol of simplicity, universality and joie de vivre, KIABI proposes ranges that are created in France by an in-house team of 56 fashion designers. KIABI is France’s leading prêt-à-porter retailer with over 10,000 employees of 60 different nationalities. Kiabi is aware of the environmental footprint of its activity and is reaffirming its Social and Environmental Responsibility via the KIABI HUMAN programme, by developing ranges of ecologically designed products and a transparent supply chain, and training its staff and stakeholders in the human and environmental impact of its business. The company encourages the personal development of employees in their place of work and the promotion of ethical local initiatives.\n Objective:\nImprove overall factory efficiency by proper line balancing, line layout improvement, building skills, Line Management.\nImprove Right the First Time (RFT) in terms of System Adherence and sustenance.\nImprove Quality at Source through effective implementation of Total Quality Management System (TQMS)\nReduced SMV of permanent styles through Process Improvement, Re-Engineering, & Innovation.\nCost Optimization\nImprove material Utilization\nProcess Optimization\nEmpower Vendor & Factory by providing theoretical & practical training (Lean, TQM, Six Sigma, IE Tools, Innovation).\nUpgrade Factory to L3 or L4.\nSupport Vendor/Factory based in creating culture of continuous improvement in the organization.\nIntroduce the latest trend in machine innovation, Ai & digitalization to improve productivity, quality and reduce cost. \nKey Responsibilities:\nC.I Playbook governance and deployment.\nAct as the owner & subject matter expert of the Continuous Improvement Playbook.\nLeads the roll out of C.I Standards and requirements across Partner or KAS supplier factories.\nEnsure implementation of all C.I clauses, systems, methodologies, and minimum requirements defined in playbook.\nDevelop roadmaps according to factory evaluation result levels.\nEnsure alignment between factory operations & corporate sourcing strategy.\nReview, maintain, and continuously improve ME Playbook standards based on emerging industry best practices.\nFactory Assessment & Evaluation:\nConduct ME Evaluation to Partner or KAS Supplier/Factories.\nEvaluate factories using the ME Scorecard & BRAG rating methodology.\nDetermine the Factory’s ME Evaluation result Levels (L1, L2, L3, & L4)\nIdentify gaps & Improvement opportunities.\nPrepare comprehensive assessment reports and executive summaries.\nWork with Partner or KAS Vendor/Factory to establish corrective action plan and implementation roadmaps.\nMonitor closure of assessment findings (NCs) and sustainment actions.\nCapability building and training.\nDesign and Deliver ME Training Modules\nConduct Classroom & Practical Training workshop\nCoach Factory Management teams and Industrial Engineers\nBuild Lean and Continuous Improvement culture within the vendor & factory organization.\nCertify Factory ME champions & key users according to playbook standard.\nTraining Modules to conduct to Vendor and Factory:\nCritical Path Management\nProduction Planning\nTotal Quality Management System (TQMS)\nLean & Six Sigma\nSupermarket System (Cutting to Sewing)\nIndustrial Engineering tools:\nSewing: Work Measurement (PMTS: GST/GSD); Operation Bulletin; Line Balancing Chart (SMV, Takt Time, Cycle Time); Operator hour Output & Efficiency Monitoring; Sewing End-line Kanban Board; Non-Productive Time Record & Analysis; Quick Changeover; Skill Matrix; Standard Worksheet; Zero Defect Operator Program; RFT/DHU/Reject/Rework % reports; Consolidated Daily, Weekly, Monthly & Yearly Sewing Line and Overall Sewing Department Production Output, Efficiency and Quality report. \nCutting: Marker Optimization; Cut Plan Optimization; Daily Cutting Plan System; Spreading & Cutting Control System; Consolidated Daily, Weekly, Monthly, Yearly Output & Efficiency report for Spreading, Cutting, & Bundling & Loading Report (By Table/Team and overall).\nFinishing & Packing: Operator Hourly Target & Output report; Team Base & Department Output and Efficiency report;\nCutting, Sewing, Finishing & Packing Consolidated Daily Production Report (DPR) summary.\nAll department: Productivity Improvement; Workflow Optimization; Quality Improvement Initiatives\nContinuous Improvement Project Management:\nLead Kaizen, Lean, Six Sigma and Industrial Engineering Projects.\nFacilitate Value Stream mapping exercise.\nConduct Root caused analysis (RCA): 5 Whys; Fishbone Diagram;\nIdentify and eliminate waste across manufacturing process.\nReduce: Cost, Lead time, Changeover, WIP, Defects and downtime.\nImprove: Productivity, Efficiency, Quality, Capacity Utilization;\nDigitalization, Industry 4.0 Deployment:\nERP Systems\nMES Solutions such as Shop Floor Management system, Warehouse Management System; Quality Management System; Asset Management System; Planning System; RFID Application or Barcode/QR Code System; Shop Floor Tracking Solutions; GSD; AI & Data Analytics Application; AI Based Bots or Robotics Application (not really humamoid).\nMachine Innovation & Automation\nIdentify Automation opportunity in factory.\nBenchmark Best-in-class apparel technology.\nProvide and guide factories to invest in the latest trend on Machine Innovation to improve quality, efficiency, productivity, de-skill operation and reduce cost.\nProviding Cost Benefit Analysis, RROI and Payback Period analysis to justify if the investment is ideal.\nKPI Management & Reporting\nDevelop and Monitor Performance Indicator such as Efficiency%, Performance %, PPH, OEE, Capacity Utilization, RFT rate, DHU rate, Rework rate, Reject rate, Zero Defect, Cost Savings, Critical Path adherence performance, NPT Rate; SMV Reduction, OTD,\nWorking Interface: Work closely with relevant department/team:\nExternal: Vendor and Factory Leaders, Functional and Operational Team\nInternal: Industrial Merch, Planning, Costing, P.E, GT,\n Strong knowledge of garment construction, material, and machines.\nUnderstand the end-to-end garment factory process.\nCapable of optimizing workflow.\nGarment Construction Re-Engineering.\nProject Management\nGood Interpersonal/Collaboration/Team Oriented.\nProficient in MS Office Suite / PLM/Power-Bi\nProficient in English; Mandarin is a plus.\nData modeling and analytics\nGSD Practitioner is a plus\nLean Certified or Lean Six Sigma green belt certified\n 5-10 years relevant work experience in Apparel Manufacturing, Industrial Engineering, Lean Manufacturing, Costing, or Operation Excellence.\nExperience in Quality Management System.\nExperience in work measurement (PMTS), line balancing and Methods Improvement.\nMinimum 3 years leading continuous improvement program with Vendor/Factory.\nExperience in Product Re-Engineering/Design to Cost/Eco Design & Process Innovation.\nExperience in Factory Assessment and Evaluation.\nExposure in Cost Optimization Projects\nExposure in Project Management\nDiploma in Industrial Engineering/ Operation Management/ other Engineering Field/ Textile Engineering/Apparel Manufacturing Technology.","description_format":"text","description_chars":7357,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced 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