Supply Chain Systems Development Manager

ST Logistics Pte Ltd; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

ST Logistics Pte Ltd is seeking a senior software architect/engineer to lead the development of an AI-driven supply chain platform, covering inventory forecasting, procurement, and logistics optimization. You will own end-to-end system delivery and mentor a team of engineers across ML, data, and backend domains.

You will translate complex business needs into scalable technical roadmaps, drive MLOps practices, and collaborate with clients and stakeholders to deliver tangible ROI and operational

Qualifications

• Degree required in Computer Science, OR, Industrial Engineering or Data Science.
• 7+ years of software engineering with 3+ years in AI/ML development and leading tech teams.
• Expert-level Python for ML modeling and backend systems; strong forecasting and optimization skills.

Responsibilities

• Lead the development and integration of an AI-driven supply chain platform.
• Oversee inventory forecasting, procurement, and logistics optimization.
• Mentor engineers and drive MLOps and CI/CD for data and models.
• Translate business pain points into scalable technical roadmaps for clients.

Skills

Python for ML

Time-series forecasting

Constraint-based optimization

Databricks / data platforms

Cloud infrastructure (AWS/GCP/Azure)

MLOps pipelines

CI/CD for data & models

ERP/WMS integration

Leadership

Communication

Education

Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science

Tools

OR-Tools

Gurobi

Prophet

Job description

Key Responsibilities

• End-to-End System Ownership - Lead the development and integration of a comprehensive AI-driven supply chain operating platform covering:
  • Inventory Forecasting Demand: Deploy sophisticated predictive models to analyze inventory-specific demand patterns, incorporating seasonality, market trends, and lead-time variability to ensure optimal stock levels and availability.
  • Procurement Management: Build automated, intelligent procurement systems that optimize vendor selection, purchase order generation, and cost-efficiency.
  • Logistics Operations: Develop optimization engines for route planning, warehouse resource allocation, and real-time distribution efficiency.
  • Strategic Leadership: Mentor a team of engineers, championing best practices in code quality, system architecture, and MLOps.
  • Workflow Transformation: Utilize Design Thinking to audit, redesign, and automate legacy workflows. Ensure that process re-engineering and AI implementation work in tandem to eliminate bottlenecks.
  • Customer & Stakeholder Partnering: Act as a technical authority in client-facing engagements. Translate complex business pain points into scalable technical requirements that deliver immediate business value.
  • Cultural Leadership: Embody our corporate culture in all interactions, fostering a collaborative, transparent, and high-performance team environment.

Qualifications

• Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.
• Experience: 7+ years of software engineering experience, with 3+ years specifically in AI/ML development. Proven track record of leading technical teams through complex, multi-phase project lifecycles.
• Technical Proficiency: Expert-level Python for both ML modeling and backend systems. Proficient in time-series forecasting (Prophet, LSTMs, Transformers) and constraint-based optimization (OR-Tools, Gurobi). Have sound technical knowledge and skills related to databases/data lakes/data platforms (e.g. Databricks) setup and implementation.
• Domain Expertise: Comprehensive understanding of the integrated supply chain, specifically regarding the nuances of inventory forecasting demand, purchasing, warehousing and last-mile/distribution logistics. Proven record of delivering quantifiable ROI (e.g., reduction in inventory holding costs, improvements in delivery speed, or automated procurement throughput).
• Consulting Mindset: Ability to conduct process discovery, facilitate design-thinking workshops, and articulate technical roadmaps to non-technical executive stakeholders.
• Engineering Rigor: Deep knowledge of cloud infrastructure (AWS/GCP/Azure), containerization, and MLOps pipelines (CI/CD for data and model versions). Direct experience integrating AI solutions with major ERP (SAP, Oracle) or WMS platforms.
• Communication: Exceptional stakeholder management skills; capable of navigating complex conversations with both technical developers and business clients.

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