Executive - Operations - GRaduate Industry Traineeships (GRIT)

ST LOGISTICS PTE. LTD.; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A logistics company in Singapore seeks an Executive – Operations to oversee day-to-day warehouse and cold chain management. The role focuses on operational policy execution, stakeholder collaboration, and continuous improvement through analytics and technology. Candidates should have 1-3 years in logistics and relevant educational backgrounds. This position offers a vibrant work environment with a commitment to safety and innovation.

Qualifications

• 1-3 years of relevant experience in logistics or supply chain operations.
• Knowledge of supply chain management principles and practices.
• Familiarity with AI applications, warehouse management systems (WMS), and IoT technologies.

Responsibilities

• Oversee day-to-day warehouse, cold-chain, and transport operations.
• Develop and execute warehouse operational policies.
• Collaborate with stakeholders to support effective warehouse management.

Skills

Analytical skills

Communication skills

Problem-solving skills

Digital skills

Education

Diploma or Degree in Supply Chain Management, Logistics, Business Administration, or Industrial Engineering

Tools

SAP/Warehouse Management System (WMS)

Microsoft Power Platform Applications

Job description

Job Summary

The Executive – Operations (Warehouse and Cold Chain Management) plays a vital role in overseeing day-to-day warehouse, cold-chain, and transport operations within a smart, AI-enabled logistics ecosystem. The role ensures seamless coordination of inbound and outbound activities, temperature-controlled handling, and inventory accuracy while maintaining the highest standards of safety, compliance, and sustainability.

He/She is responsible for the development and execution of warehouse operational policies, standards, and procedures, ensuring full compliance with SOPs and regulatory requirements. This includes the accurate documentation, efficient coordination of deliveries and inventory movement, and the fulfilment of customer orders with precision and timeliness.

Using AI tools, automation systems, and data analytics, he/she continuously monitors and optimises storage capacity, resource utilisation, and workflow efficiency to drive productivity improvements. Analytical and logical in approach, the Executive evaluates operational challenges, explores innovative solutions, and assesses the feasibility of process enhancements.

The role also involves close collaboration with internal and external stakeholders to implement technology-driven solutions, streamline processes, and support the effective management of the warehouse operations - contributing to service excellence and organisational performance in an evolving digital logistics landscape.

Job Responsibilities

Business Administration Operations

• Manage stakeholders to monitor completion of operational and administrative requirements and activities
• Foster a value-driven, accountable, and safety-first workplace culture.
• Adhere to organisation’s governance, compliance issues and reporting processes
• Adhere to organisation’s data governance and protection processes
• Lead teams in the workplace
• Review allocation of resources in support of different business activities
• Optimise use of allocated resources
• Coordinate operational policies, standards and procedures
• Execute operational policies, risk-mitigation, and crisis-management plans.
• Develop incident or crisis management plans to ensure gaps are mitigated

Business Process/Continuous Improvement

• Analyse workflows to identify automation or process-improvement opportunities.
• Engage senior management for buy-in to implement technological solutions identified
• Execute business processes improvement solutions
• Drive continuous-improvement projects integrating sustainability and CSR principles.
• Execute environmental protection policies and procedures
• Develop measures using quality management knowledge to enhance quality standards (Reduce defects, delays, and waste)
• Collaborate with cross-functional teams to embed innovation and technology adoption.

Safety and Health

• Manage WSH activities to ensure department's compliance to requirements
• Conduct WSH risk assessments and support safety audits.
• Implement corrective and preventive actions to ensure compliance with safety standards.
• Address WSH risks by using AI-driven monitoring or reporting tools to identify safety trends and determine hazards.
• Manage WSH solutioning discussions around suggestions to improve existing processes
• Promote proactive safety communication and continuous learning within the team.

Technology Application

• Review areas in logistics operations where technology can enhance processes
• Leverage data analytics to generate insights for decision-making and efficiency tracking by developing AI dashboards, applications.
• Collaborate on digital-transformation initiatives that enhance operational resilience and sustainability.
• Support pilot projects involving robotics, digital twins, or predictive maintenance.

Sales and Customer Service

• Manage key accounts through maintaining close contact with stakeholders
• Communicate with key account managers to identify new businesses and grow relationships that assist in revenue generation within assigned verticals
• Plan delivery of logistics products and services that meet customer requirements
• Deploy logistics services that meet customer requirements
• Support customer-service operations by ensuring timely, accurate, and quality delivery.
• Monitor performance metrics and address service lapses to customers through root-cause analysis.
• Engage in customer-feedback initiatives to drive service excellence.

Transportation Operations

• Coordinate transport scheduling and routing using fleet management and AI route-optimisation tools.
• Review application of integrated logistics solutions and business management principles to improve overall transport plan
• Support sustainability in fleet operations planning (fuel efficiency, carbon reduction).

Warehousing, Cargo and Material Handling

• Execute and monitor warehouse operations using AI-powered WMS, digital twins, and robotics (AGVs/AMRs) to optimise picking, packing, and storage efficiency.
• Develop warehousing standards for quality management systems by integrating AI-driven analytics to track performance metrics, detect quality deviations, and automatically recommend corrective actions in real time.
• Optimise warehouse design and operations using AI-driven simulation, digital twins, and predictive analytics to enhance layout planning, storage efficiency, and resource utilisation.
• Develop warehouse security plans
• Manage re-location of warehouses using predictive modelling and AI-based scenario planning to evaluate logistics network efficiency, relocation cost, and environmental impact before execution.
• Manage resources to ensure cargo-handling schedules are met
• Manage cargo documentation process according to industry standards or sector requirements
• Develop operational improvements based on performance measures using machine-learning insights to identify process bottlenecks, predict equipment downtime, and recommend continuous-improvement actions.
• Develop methods and techniques to better manage dangerous goods and hazardous materials with AI-driven risk-prediction models and automated compliance validation aligned with international safety standards (e.g., IMDG, IATA-DGR).
• Deploy machine learning and automation to forecast demand, improve cargo-handling schedules, and proactively manage dangerous goods and hazardous-materials operations.
• Leverage AI and IoT technologies to maintain cold-chain integrity, monitor temperature-sensitive cargo, and ensure real-time visibility across warehousing and handling activities.
• Manage time and temperature-sensitive cargo operations by using AI analytics to forecast temperature deviations, optimise cold-storage zones, and trigger real-time alerts for proactive corrective action.
• Deploy machine learning and automation to forecast demand, improve cargo-handling schedules, resource allocation and proactively manage dangerous goods and hazardous-materials operations.

Others

• Undertake assigned projects or duties as directed by Supervisors/Management (if any)

Job Requirements

• GRIT applicants are welcome to apply
• 1-3 years of relevant experience in logistics or supply chain operations.
• Diploma or Degree in Supply Chain Management, Logistics, Business Administration, or Industrial Engineering or relate field.
• Proficient in MS Office Applications / Microsoft Power Platform Applications
• Knowledge of supply chain management principles and practices.
• Basic knowledge of SAP/Warehouse Management System (WMS) / Supply Chain Software/ Enterprise Resource planning (ERP) Systems.
• Exposure to cold-chain management, automation, or data-analytics tools will be an advantage.
• Familiarity with AI applications, warehouse management systems (WMS), and IoT technologies preferred.
• Strong analytical, problem-solving, and digital skills, with interest in AI-driven logistics.
• Excellent Communication and interpersonal skills
• Ability to work independently and manage multiple priorities
• Strong attention ton detail and organisational skills
• Knowledge of Workplace Safety & Health (WSH) and sustainability practices.
• Excellent communication, teamwork, and adaptability in a high-tech, fast-paced environment.
• Working hours : Monday to Friday, 8am to 5.30pm
• Working Location : Toll City, 60 Pioneer Road

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