Manager - Supply Chain Systems Development

ST Logistics; Singapore; On-site; SGD 150,000 - 260,000; Full time

Job summary

ST Logistics is seeking a visionary lead software engineer in Singapore to bridge AI technology with mission-critical supply chain operations. You will lead a cross-functional team to architect and deploy an integrated, end-to-end intelligent supply chain ecosystem, driving ROI and efficiency.

You will design AI-led solutions for inventory forecasting, procurement automation, and logistics optimization, while mentoring engineers and aligning with corporate values of integrity and innovation.

Qualifications

• 5+ years software engineering experience, with 3+ years in AI/ML development.
• Proven track record of leading technical teams through multi-phase project lifecycles.
• Experience with AI/ML development and cloud infrastructure.

Responsibilities

• End-to-End System Ownership: lead AI-driven supply chain platform.
• Inventory Forecasting Demand: deploy predictive models with seasonality and variability.
• Procurement Management: automate vendor selection and PO generation.
• Logistics Operations: develop optimization engines for routing and warehouses.
• Strategic Leadership: mentor engineers and enforce best practices (MLOps).
• Workflow Transformation: redesign legacy workflows with design thinking.
• Customer & Stakeholder Partnering: translate business pain points to scalable tech requirements.
• Cultural Leadership: foster a collaborative, high-performance team environment.

Skills

Python

Time-series forecasting

OR-Tools

Gurobi

Databricks

MLOps

Cloud platforms

Leadership

Stakeholder management

Education

Degree in CS / OR / IE / Data Science

Tools

Prophet

LSTMs

Transformers

Gurobi

OR-Tools

Databricks

Docker

Kubernetes

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/].