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
- 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
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
- Strong knowledge of Lean principles and continuous improvement methodologies (Green Belt or above preferred)
- 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
- 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.
- Our integrated networks span warehouse management, line haul transportation, last mile delivery, bulky items logistics, cold chain, and cross border operations.
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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