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APAC Engineering Manager (Healthcare Logistics & Distribution)

UPS is hiring an APAC Engineering Manager (Healthcare Logistics & Distribution). Level rates it ; you can apply on UPS.

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  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • UPS has 2,000+ other open roles on Level.
  • Posted in the last few days.

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Job Description:

The APAC Industrial Engineering Manager provides regional Industrial Engineering leadership for Healthcare Logistics & Distribution (HLD) operations across Asia Pacific and has responsibility for New Business Engineering (NBE).


The role is responsible for developing, implementing and continuously improving engineered solutions that enhance service, compliance, productivity, capacity utilization, cost performance and operational scalability across the HLD network. In addition to supporting existing operations, the Manager leads the engineering component of new healthcare business opportunities, translating customer requirements and commercial assumptions into operationally executable, compliant and financially sustainable solutions.


The role connects Operations, Solutions/NBE, Quality, IT, Finance, Business Development and local Industrial Engineering teams, ensuring that solutions move effectively from concept and business case through design, implementation, stabilization and continuous improvement.


Job Responsibilities


1. Regional Industrial Engineering Leadership


  • Lead the Industrial Engineering strategy and priorities for APAC HLD operations.
  • Establish consistent engineering methodologies, standards and governance across countries and facilities.
  • Develop regional IE capabilities and coach local/site Industrial Engineers.
  • Build a fact-based engineering operating model covering productivity, labor, capacity, service and cost.
  • Establish standardized performance measurements and ensure operational variances translate into quantified improvement actions.
  • Develop regional engineering roadmaps aligned with HLD growth and operational priorities.

2. New Business Engineering (NBE)


  • Own the engineering workstream for new HLD business opportunities across APAC
  • Translate RFQ/RFP and customer requirements into executable operational solutions.
  • Develop warehouse process flows and operating concepts.
  • Perform volume, order-profile and SKU-profile analysis.
  • Develop labor standards and resource models.
  • Determine storage, staging, workstation, dock and material-handling requirements.
  • Develop facility layouts and space requirements.
  • Define equipment, MHE, automation and technology requirements.
  • Develop CAPEX requirements and support business-case development.
  • Establish productivity assumptions and operating-cost models.
  • Perform capacity and scalability analysis.
  • Conduct engineering risk and sensitivity assessments.
  • Support Business Development and Solutions teams during customer presentations and solution reviews.

3. Solution Design & Implementation


  • Provide engineering ownership from solution design through operational implementation
  • Develop concepts, layouts, flows and engineered process designs.
  • Define operational requirements and User Requirement Specifications (URS).
  • Support selection and implementation of automation, equipment and technology.
  • Validate labor, capacity and productivity assumptions before implementation.
  • Support testing, commissioning and operational readiness.
  • Participate in IQ/OQ/PQ activities where applicable.
  • Develop ramp-up and stabilization plans.
  • Establish post-go-live performance baselines.
  • Track benefits against the approved business case.

4. Productivity & Cost Engineering


  • Drive sustainable improvements in operational productivity and cost
  • Develop engineered labor standards.
  • Analyze actual versus engineered resource requirements.
  • Identify direct and indirect labor opportunities.
  • Perform workload-to-FTE modeling based on customer and operational profiles.
  • Develop staffing models and capacity plans.
  • Identify productivity improvement opportunities.
  • Quantify operational and financial benefits.
  • Support Finance and Operations with cost-per-unit and cost-to-serve analysis.
  • Develop business cases for improvement initiatives.

5. Capacity & Network Engineering


  • Ensure operations have sufficient capacity for current business, growth and peak requirements
  • Develop storage and throughput capacity models.
  • Assess warehouse constraints and operational bottlenecks.
  • Model storage, staging, replenishment, cold-room, dock and workstation capacity.
  • Conduct scenario modeling for volume growth and customer onboarding.
  • Determine facility expansion or investment requirements.
  • Support regional HLD network and facility optimization initiatives.


6. Continuous Improvement


  • Establish a regional engineering-driven continuous improvement program.
  • Identify opportunities through operational data and structured process analysis.
  • Use Lean and Industrial Engineering methodologies to eliminate waste and improve flow.
  • Develop quantified CI pipelines for each operation.
  • Prioritize initiatives based on operational impact, customer benefit and financial return.
  • Establish clear baseline, target, owner and benefit for each initiative.
  • Ensure improvements are standardized and sustained.

7. Data, Technology & Automation


  • Drive the adoption of scalable technology and data-driven engineering solutions.
  • Identify automation opportunities based on operational profiles and economics.
  • Support WMS, automation, robotics and digitalization projects.
  • Develop data-based engineering tools and dashboards.
  • Promote common regional data standards and methodologies.
  • Partner with IT and Operations to improve operational visibility and decision making.
  • Ensure automation investments deliver the expected productivity and service benefits.

8. Healthcare Quality & Compliance


  • Ensure that engineering designs support applicable healthcare-quality and regulatory requirements.
  • Incorporate GDP and applicable quality requirements into operational design.
  • Design processes supporting inventory integrity and product protection.
  • Incorporate temperature-control requirements where relevant.
  • Support validation and change-control processes.
  • Participate in operational risk assessments.
  • Ensure new processes and technologies are implementation and audit ready.


Job Requirements


  • Possess a Bachelor's degree in Industrial Engineering, Supply Chain, Logistics Engineering, Manufacturing Engineering, Operations Management or a related discipline.
  • 5 to 7 years of experience in industrial engineering, warehouse engineering, logistics solutions, or supply chain operations. Experience in healthcare, pharmaceutical, medical device, or other regulated logistics environments is an advantage.
  • Proven experience leading engineering projects across multiple sites and/or countries preferred.
  • Strong expertise in warehouse design, labor modelling, capacity planning, process improvement, material flow, operational costing, and business case development.
  • Experience with WMS implementation and warehouse automation is preferred.
  • Ability to translate operational data into practical engineering solutions. Experience supporting RFQ/RFP solution design and customer presentations is an advantage.
  • Strong analytical, financial, stakeholder management, and communication skills.
  • Able to work effectively in a regional matrix organization.
  • Willing to travel for work, if required.


Employee Type:

Permanent


UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

How we rate this

APAC Engineering Manager (Healthcare Logistics & Distribution) at UPS rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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