Manager - Supply Chain Systems Development

ST Logistics Pte Ltd; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

ST Logistics Pte Ltd is seeking a visionary lead software engineer to bridge advanced AI technology with mission-critical supply chain operations. You will spearhead a cross-functional team to architect and deploy an end-to-end intelligent supply chain ecosystem, focusing on inventory forecasting, procurement, and logistics optimization.

You will mentor engineers, champion best practices in code quality, architecture, and MLOps, and partner with internal teams and customers to apply design

Qualifications

• Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.
• At least 5 years software engineering experience, with 3+ years in AI/ML development.

Responsibilities

• Lead development and integration of an AI-driven supply chain platform.
• Mentor engineers and champion code quality, architecture, and MLOps.
• Design and implement AI-led solutions for inventory forecasting, procurement, and logistics.
• Collaborate with internal teams and customers to translate business needs into scalable tech requirements.
• Apply design thinking to redesign legacy workflows and ensure AI-led process improvements.

Skills

Python (ML)

Time-series forecasting

OR-Tools/Gurobi

Cloud (AWS/GCP/Azure)

MLOps pipelines

ERP/WMS integration

Databricks

CI/CD for data/models

DevOps for ML

Stakeholder communication

Education

Bachelor’s in CS/OR/IE/Data Science

Tools

Databricks

CI/CD tooling

Job description

Overview

We are seeking a visionary lead software engineer to bridge the gap between advanced AI technology and mission-critical supply chain operations. You will spearhead our cross-functional team of software and AI application developers to architect and deploy an integrated, end-to-end intelligent supply chain ecosystem.

Your mandate is to design and implement AI-led solutions that transform how we conduct inventory forecasting demand, manage procurement, and orchestrate logistics operations. Beyond technical architecture, you will serve as a consultative leader—partnering with internal teams and customers to apply design thinking to business processes.

You will ensure that our solutions are not just high-performing, but strategically aligned to drive operational efficiency, measurable ROI, and sustainable business growth. You will thrive in an environment where your professional decisions are consistently guided andgrounded by our corporate values of integrity, innovation, and a commitment to our collective success.

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.

Requirement

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

• Experience: At least 5 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.

By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by ST Logistics and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at https://www.stlogs.com/pages/personal-data-policy/ and https://www.e2i.com.sg/pdpa/.