Operations Excellence Specialist (AI & Automation)
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Key skills for this role
About the Role
JD Logistics seeks an Operations Excellence Specialist to own labour planning strategy across UAE warehouse operations, develop AI-driven workforce planning tools, and drive continuous improvement.
Key Skills for This Role
Responsibilities
- Own the labour planning strategy across all UAE warehouse operations, ensuring optimal deployment of manpower to meet operational demand while minimizing cost
- Develop and continuously enhance AI driven labour planning tools to optimize workforce allocation, scheduling, productivity, and operational performance
- Design and maintain manpower planning models capable of managing complex warehouse operations consisting of 30+ operational roles and multiple cross training requirements
- Analyse operational performance to identify bottlenecks, capacity constraints, labour waste, idle hours, and productivity improvement opportunities
- Develop strategies to balance labour capacity across multiple warehouse locations while maintaining service levels and minimizing overtime and operational cost
- Create forecasting models based on business demand, seasonality, order profiles, and operational trends to support accurate workforce planning
- Establish labour standards and productivity benchmarks, ensuring manpower plans are aligned with operational targets and customer requirements
- Develop dashboards, reporting tools, and real time decision support models that provide visibility into labour utilisation, productivity, capacity, and operational performance
- Lead continuous improvement initiatives focused on labour optimisation, process efficiency, cost reduction, and operational excellence using Lean methodologies
- Partner closely with Operations, Finance, HR, and Engineering teams to develop long term workforce strategies, hiring plans, and operational improvement roadmaps
Requirements
- Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Research, Engineering, Computer Science, Business Analytics, Business, or a related field; Master’s degree is a plus
- 5–8+ years of experience in workforce planning, warehouse operations, industrial engineering, operations excellence, or supply chain strategy within logistics, e commerce, or contract logistics environments
- Proven experience developing and implementing labour planning strategies for complex warehouse operations
- Strong knowledge of Lean principles and continuous improvement methodologies (Green Belt or above preferred)
- Experience developing labour standards, forecasting models, staffing algorithms, and manpower planning frameworks
- Proven experience leveraging AI, advanced analytics, or machine learning to improve workforce planning
- Strong capability in developing analytical and decision support tools using Python, SQL, Power BI, Microsoft Excel (advanced modelling), VBA, or similar technologies
- Fluent in English (required); proficiency in Chinese is a strong advantage
Full Job Posting
Who We Are
- At JINGDONG Logistics (JD Logistics), part of JD.com, we are a leading technology driven supply chain and logistics solutions provider under JD.com.
- Built on deep expertise in automation, smart fulfilment, and data intelligence, we operate end to end logistics services that empower businesses and enhance customer experience.
- Our integrated networks span warehouse management, line haul transportation, last mile delivery, bulky items logistics, cold chain, and cross border operations, ensuring speed, reliability, and precision at every stage.
Key Responsibilities
- Own the labour planning strategy across all UAE warehouse operations, ensuring optimal deployment of manpower to meet operational demand while minimizing cost.
- Develop and continuously enhance AI driven labour planning tools to optimize workforce allocation, scheduling, productivity, and operational performance.
- Design and maintain manpower planning models capable of managing complex warehouse operations consisting of 30+ operational roles and multiple cross training requirements.
- Analyse operational performance to identify bottlenecks, capacity constraints, labour waste, idle hours, and productivity improvement opportunities.
- Develop strategies to balance labour capacity across multiple warehouse locations while maintaining service levels and minimizing overtime and operational cost.
- Create forecasting models based on business demand, seasonality, order profiles, and operational trends to support accurate workforce planning.
- Establish labour standards and productivity benchmarks, ensuring manpower plans are aligned with operational targets and customer requirements.
- Develop dashboards, reporting tools, and real time decision support models that provide visibility into labour utilisation, productivity, capacity, and operational performance.
- Lead continuous improvement initiatives focused on labour optimisation, process efficiency, cost reduction, and operational excellence using Lean methodologies.
- Partner closely with Operations, Finance, HR, and Engineering teams to develop long term workforce strategies, hiring plans, and operational improvement roadmaps.
- Lead strategic projects focused on automation, AI adoption, and digital transformation of workforce planning processes.
- Provide regular insights and recommendations to senior leadership through data analysis, scenario modelling, and business case development to support strategic decision making.
Job Requirements
- Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Research, Engineering, Computer Science, Business Analytics, Business, or a related field; Master’s degree is a plus.
- 5–8+ years of experience in workforce planning, warehouse operations, industrial engineering, operations excellence, or supply chain strategy within logistics, e commerce, or contract logistics environments.
- Proven experience developing and implementing labour planning strategies for complex warehouse operations, including multi site workforce allocation and productivity optimization.
- Demonstrated experience planning manpower across multiple facilities while balancing operational demand, labour cost, service levels, and productivity.
- Strong understanding of warehouse operations, including inbound, outbound, inventory management, replenishment, value added services, and fulfilment processes.
- Proven experience managing complex labour structures involving multiple operational roles, cross training requirements, certification levels, and workforce flexibility.
- Strong knowledge of Lean principles and continuous improvement methodologies (Green Belt or above preferred), with experience in waste elimination, bottleneck analysis, process optimization, capacity balancing, and productivity improvement.
- Demonstrated ability to identify operational bottlenecks, labour inefficiencies, idle capacity, and waste hours through data driven analysis and implement sustainable improvement initiatives.
- Experience developing labour standards, forecasting models, staffing algorithms, and manpower planning frameworks to support operational decision making.
- Proven experience leveraging Artificial Intelligence (AI), advanced analytics, or machine learning to improve workforce planning, forecasting, scheduling, or operational decision making.
- Strong capability in developing analytical and decision support tools using Python, SQL, Power BI, Microsoft Excel (advanced modelling), VBA, or similar technologies.
- Excellent analytical and problem solving skills with the ability to structure complex operational challenges and translate data into practical, scalable solutions.
Nice to Have Qualifications
- Experience developing AI powered workforce planning, scheduling, or labour optimisation solutions.
- Experience with Operations Research techniques such as linear programming, optimisation algorithms, or simulation modelling.
- Experience with Warehouse Management Systems (WMS), Labour Management Systems (LMS), warehouse automation, or robotics.
- Experience within e commerce, third party logistics (3PL), or high volume fulfilment operations.
- Experience managing workforce planning across multiple countries or regions.
- Lean Six Sigma Black Belt certification.
- Familiarity with Generative AI technologies and their application within warehouse operations, process automation, and decision support.
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