Total 4 job vacancies by St Logistics Pte. Ltd.

Job Summary

• This role will primarily anchor STL’s Business Excellence and ISO Management Systems, with focus on driving, implementing and sustaining Group-wide ISO certifications (e.g. Quality, Safety, BCM, Supply Chain Security).

• The incumbent is expected to be a strong implementer, taking full ownership to operationalise ISO frameworks across Verticals and ensuring systems are integrated, audit-ready, and consistently practised.

• As the designated Management Representative (MR) for the company, this role will represent STL at Group level to certification bodies and external stakeholders, ensuring governance, compliance, and continual improvement of the integrated management system.

• Support the application of Operational Excellence (Lean Six Sigma), BPR and JRR methodologies to drive targeted process improvements and efficiency gains where relevant.

• Act as a change agent to promote a culture of continuous improvement and performance discipline across the organisation.

Responsibilities

Business Excellence - Group ISO Certifications

• Lead and drive Group-wide ISO Management Systems across all Verticals and Corporate functions, ensuring all critical certifications are achieved, sustained, and continuously improved.

• Lead a cross-functional network of full-time and extended team members (Vertical representatives), taking full accountability for end-to-end certification planning, execution, and risk management across multiple ISO standards.

• Integrate and harmonise various ISO management systems at Group level, ensuring consistency, standardisation, and alignment with STL’s integrated management system.

• Take full ownership of STL’s electronic Quality Management System (eQMS), ensuring governance, system integrity, user adoption, and day-to-day operational effectiveness.

• Build and institutionalise ISO capabilities across the Group, including developing a strong pool of trained Lead and Internal Auditors, and always ensuring sustained audit readiness.

Operational Excellence - CI & Lean Management

• Work closely with Head of Business Excellence & Sustainability (BE&S) to define, facilitate and deliver the continual improvement strategy for the Group to facilitate cost reduction and improvement opportunities projects to support the Group/BU’s strategic direction.

• Work closely with the key stakeholders and/or Vertical/BU Heads in the Group’s Continuous Improvement Journey to identify areas where CI initiatives and projects can add value to the company’s performance.

• Facilitate/coach the various BUs to generate CI projects pipelines and assist BUs to prioritize significant ones that will have high impact to business within an appropriate timeframe.

• Lead the consolidation of Balanced Scorecard inputs from all Verticals/ Business Units. Track performance outcomes and follow up on corrective and preventive actions (CAPA).

• Benchmark and keep abreast of latest CI/Lean developments to continuously improve and incorporate relevant topics into sustaining STL’s OE program.

Business Process Re-engineering (BPR) & Job Redesign Reskilling (JRR)

• Together with Head of BE&S, engage key stakeholders including CEO, COO, Vertical Heads and GMs to translate BU strategies / Objectives into operational frameworks and provide advice on end-to-end process improvement.

• Lead and facilitate BPR, Job Redesign Reskilling (JRR), and Process Improvement initiatives to enhance operational efficiency, effectiveness, and scalability.

• Partner with Business Units to review end‑to‑end processes, identify inefficiencies, and implement practical, sustainable improvements.

• Leverage digital tools, automation, data analytics, and appropriate AI‑enabled solutions to improve process performance and decision‑making.

• Work closely with Technology/Innovation Team to drive a culture of Continuous Improvement (CI) and Innovation across the STL Group.

Other Tasks

• Perform any other tasks as assigned by the Supervisor.

Requirement
• Bachelor Degree in Engineering, Science, Business or a related discipline

• Minimum 10 years of experience in Business Excellence and/ or Logistics environment with extensive hands-on experience in developing and successfully driving Business & Operational Excellence practices.

• Strong working knowledge of ISO Management System standards and certification requirements, with hands-on experience in implementation and audit processes.

• Lead Auditor certified (or equivalent) is required

• Preferably Green Belt certified with proven ability in application of Lean Six Sigma & BPR methods and tools

• Knowledge of Data Analytics and AI tools eg. Power BI, Power App, etc.

• Ability to work together and manage cross-functional collaboration and projects to achieve intended outcomes.

• A strong team player with high Initiative, demonstrated planning skills, strategic thinking and proven performance in problem-solving

• Able to influence stakeholders and interface with Leaders and Professionals on all levels.

• Strong facilitation, verbal and written communication skills

• Work Location : 60 Pioneer Road, Tuas

• Working Hours & Time : Monday - Friday : 8am - 5.30pm

Summary

• He/ she provides direction for the design, implementation, and maintenance of the physical and/or virtual infrastructure. He/She develops and implements operating policies, strategies and tactics.
• He/She sets the direction for the methodologies, tools and frameworks used in the infrastructure design and builds a strong partnership with key stakeholders from a strategic and operational perspective to ensure alignment with business requirements and expectations.
• He/She is a strong leader, with a broad sense of perspective and the ability to influence key internal and external stakeholders. He/She is strategic in his/her approach to managing resources and developing capabilities within the team.

Job Responsibilities

Plan infrastructure operations and maintenance strategy 

• Advise the business on infrastructure operations and maintenance related issues 
• Recommend process, product or service improvements, resource optimisation and cost savings 
• Partner with stakeholders to define infrastructure operations and maintenance requirements for new technology implementations 
• Anticipate internal and/or external business challenges and/or regulatory issues 
• Forecast financial, physical, and human resource needs to meet established objectives 

Manage infrastructure and infrastructure implementation 

• Organise managers, engineers and technical specialists to perform day-to-day activities around infrastructure implementation 
• Control the prioritisation of requirements and allocation of staff, budget and equipment resource 
• Update senior leaders on the status of implementation and expansions of infrastructure 
• Coordinate complex and major implementation rectifications 

Provide incident resolution guidance 

• Schedule activities to ensure continuity of service and prompt resolution of issues 
• Monitor response and resolution time on live incidents 
• Analyse enquiries to identify recurring user problems, recommend solutions, and to identify areas where service can be improved 
• Respond to more complex, escalated enquiries from team members 
• Develop problem solving guidelines, checklists, or materials to assist staff to respond to user problems 
• Oversee disaster recovery planning and testing 

Manage projects 

• Assign team members to projects 
• Supervise the execution of day-to-day infrastructure operations, system installations and integration 
• Guide engineers toward performing services on time, within budget and in accordance with business requirements 
• Maintain oversight of complex infrastructure operations and maintenance projects end-to-end as required 
• Monitor overall infrastructure performance, capacity and resource utilisation 
• Drive resource and cost optimisation across projects 
• Develop infrastructure operations and maintenance project plans 
• Initiate plans to respond to request on more infrastructure and system resources 
• Update senior leaders on project status, resource optimisation and cost savings 

Manage teams 

• Oversee team management including budgets, forecasting, work allocations and staffing 
• Develop staff through ongoing coaching, mentoring and career discussions 
• Define common goals, direction and accountability among staff 
• Drive effective performance management practices within the department in accordance with organisation policies and procedures 

Job Requirements

- Bachelor's Degree (or equivalent professional qualifications) in a relevant field
- At least 7 years of relevant experience will be preferred
- Able to manage projects and travel across various cilents site in Singapore.
- Familiar with switches, servers, troubleshooting pc / network & etc issue

Job Summary

The Executive / AI Engineer is a growth-oriented technical lead with the gumption to architect a data-driven future. Driven by intellectual curiosity, the incumbent identifies and resolves complex business problems by transforming raw data into high-value AI assets. They act as a technical catalyst, bridging the gap between sophisticated data architectures and real-time business applications to drive operational excellence.

This role is responsible for the end-to-end AI lifecycle, from optimizing scalable data workflows to training advanced algorithms like computer vision, forecasting, and route optimization. He or She must possess technical rigor, demonstrating mastery in SQL, Python, and API interfacing while maintaining a strict commitment to data ethics and governance. They ensure all models are high-performing, reproducible, and integrated seamlessly into the organization’s production platforms.

Beyond technical execution, He or She is a persuasive data storyteller who translates complex model outputs into compelling narratives for stakeholder buy-in. With strong analytical and critical thinking, they influence leadership and secure commitment for AI-driven initiatives. By fostering a collaborative team environment and championing data quality, they lead the organization’s transition toward a sophisticated, AI-centric operational model.

Job Responsibilities/Key Tasks

Operations and Data Engineering Excellence

· Design and optimize scalable data workflows with subject matter expertise in data loading patterns and architecture.

· Develop and maintain robust data pipelines supporting both real-time and batch processing to power the Supply Chain Control Tower.

· Extract and integrate data from structured, semi-structured, and unstructured sources. Develop API interfaces between the data layer and application layer for real-time scalability.

· Leverage advanced SQL and partitioning strategies to ensure efficient data transformation and high-performance analytics.

· Champion data quality by implementing validation, lineage tracking, and compliance standards (Data Ethics).

Model Development and AI Deployment

· Train and deploy advanced models, including Computer Vision, Forecasting, and Route Optimization, suitable for specific business use cases.

· Implement data modelling best practices (schema design, indexing) specifically tailored for AI/ML applications to optimize performance.

· Work collaboratively to ensure data readiness, rigorous feature engineering, and the reproducibility of all experiments.

· Perform model comparisons to draw inferences on variable importance; select and interpret models based on pre-defined criteria (accuracy, latency, and business impact).

· Conduct rigorous testing of models in real-time business conditions prior to full-scale deployment, documenting all techniques and assumptions.

Strategic Insights and Value Delivery

· Conduct deep-dive analysis to determine the best analytical path for solving complex operational problems.

· Evaluate and implement autonomous monitoring solutions to scale human oversight of deployed AI models.

· Create compelling, logically structured presentations that use "data storytelling" to translate model results into actionable business commitments.

· Contribute to the creation of "leading-edge" resources, including internal playbooks, guides, and technical blog posts to enable end-user capability across the organization.

Others

- Undertake any assigned projects/duties directed by Management (if any)
- Entry level is welcome to apply

Job Summary

The Senior Executive / Senior AI Engineer is a growth-oriented technical lead with the gumption to architect a data-driven future. Driven by intellectual curiosity, the incumbent identifies and resolves complex business problems by transforming raw data into high-value AI assets. They act as a technical catalyst, bridging the gap between sophisticated data architectures and real-time business applications to drive operational excellence.

This role is responsible for the end-to-end AI lifecycle, from optimizing scalable data workflows to training advanced algorithms like computer vision, forecasting, and route optimization. The Senior AI Engineer must possess technical rigor, demonstrating mastery in SQL, Python, and API interfacing while maintaining a strict commitment to data ethics and governance. They ensure all models are high-performing, reproducible, and integrated seamlessly into the organization’s production platforms.

Beyond technical execution, the Senior Executive / Senior AI Engineer is a persuasive data storyteller who translates complex model outputs into compelling narratives for stakeholder buy-in. With strong analytical and critical thinking, they influence leadership and secure commitment for AI-driven initiatives. By fostering a collaborative team environment and championing data quality, they lead the organization’s transition toward a sophisticated, AI-centric operational model.

Job Responsibilities/Key Tasks

Operations and Data Engineering Excellence

· Design and optimize scalable data workflows with subject matter expertise in data loading patterns and architecture.

· Develop and maintain robust data pipelines supporting both real-time and batch processing to power the Supply Chain Control Tower.

· Extract and integrate data from structured, semi-structured, and unstructured sources. Develop API interfaces between the data layer and application layer for real-time scalability.

· Leverage advanced SQL and partitioning strategies to ensure efficient data transformation and high-performance analytics.

· Champion data quality by implementing validation, lineage tracking, and compliance standards (Data Ethics).

Model Development and AI Deployment

· Train and deploy advanced models, including Computer Vision, Forecasting, and Route Optimization, suitable for specific business use cases.

· Implement data modelling best practices (schema design, indexing) specifically tailored for AI/ML applications to optimize performance.

· Work collaboratively to ensure data readiness, rigorous feature engineering, and the reproducibility of all experiments.

· Perform model comparisons to draw inferences on variable importance; select and interpret models based on pre-defined criteria (accuracy, latency, and business impact).

· Conduct rigorous testing of models in real-time business conditions prior to full-scale deployment, documenting all techniques and assumptions.

Strategic Insights and Value Delivery

· Conduct deep-dive analysis to determine the best analytical path for solving complex operational problems.

· Evaluate and implement autonomous monitoring solutions to scale human oversight of deployed AI models.

· Create compelling, logically structured presentations that use "data storytelling" to translate model results into actionable business commitments.

· Contribute to the creation of "leading-edge" resources, including internal playbooks, guides, and technical blog posts to enable end-user capability across the organization.

Others

· Undertake any assigned projects/duties directed by Management (if any)