Manager - Supply Chain Systems Development (Strategy & Transformation)

ST Logistics; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

ST Logistics in Singapore seeks a Manager of Supply Chain Systems Development (Strategy & Transformation) to bridge AI technology with mission-critical supply chain operations. Lead cross-functional software and AI teams to architect and deploy an integrated, end-to-end intelligent supply chain ecosystem.

You will mentor engineers, champion code quality and MLOps, and drive redesign of legacy workflows using design thinking while translating business pain points into scalable tech roadmaps and

Qualifications

• Bachelors degree in CS, OR, IE or Data Science.
• 7+ years software engineering with 3+ years AI/ML development leadership.
• Proven track record leading multi-phase AI/ML projects.

Responsibilities

• Lead predictive models for inventory forecasting.
• Build automated, intelligent procurement systems.
• Develop optimization engines for route planning and warehousing.
• Mentor engineers; enforce best practices and MLOps.

Skills

Python ML

Time-series

Forecasting

DS/ML pipelines

AWS/GCP/Azure

Docker

Kubernetes

Databricks

SQL/DB

Education

Bachelors Degree in CS/OR/IE/DS

Operations Research

Tools

OR-Tools

Gurobi

CI/CD

Job description

Job Summary

The Manager - Supply Chain Systems Development (Strategy & Transformation) is a visionary lead software engineer to bridge the gap between advanced AI technology and mission-critical supply chain operations. He/she 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.

Job Function

Strategy and Transformation

Job Responsibilities/Key Tasks(External)

• 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.

Job Requirements

• 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).
• Proficiency in time-series forecasting techniques (Prophet, ARIMA, LSTMs, Transformer-based models)
• Deep knowledge of cloud infrastructure (AWS/GCP/Azure), containerization, and MLOps pipelines (CI/CD for data and model versions) including compute, storage, and ML services
• Experience with containerization and orchestration (Docker, Kubernetes)
• Expertise in ML pipeline orchestration and MLOps practices (model versioning, experiment tracking, CI/CD for data and models)
• Proficiency with databases, data lakes, and data platforms (e.g., Databricks, Snowflake, BigQuery, PostgreSQL)
• Proficiency in machine learning techniques such as supervised/unsupervised learning and deep learning
• 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).
• Ability to conduct process discovery, facilitate design-thinking workshops, and articulate technical roadmaps to non-technical executive stakeholders.
• Direct experience integrating AI solutions with major ERP (SAP, Oracle) or WMS platforms.
• Exceptional communication, collaboration, and stakeholder management skills, capable of navigating complex conversations with both technical developers and business clients.
• Knowledge of AI frameworks and tools is a must
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities

Professional Qualifications & Relevant Experience

• Bachelor’s Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.
• 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.
• 7-10 years of experience in analytics, data science, or AI