Engineer Manager- Data Foundation (Data & AI)
Core
Building and scaling a global Data and AI platform that unifies trusted data to fuel advanced analytics and AI solutions for container logistics operations.
Role type
Senior hands-on Engineering Manager (Data Foundation & AI/ML)
Builds
Global data and AI platform, shared data models, KPIs, pipelines, APIs, and MLOps infrastructure
Domain
Logistics / Supply Chain / Data Engineering / AI/ML
Deliverable
production ML models | infrastructure | product features
Required skills
Data engineering, cloud-native data architecture, platform engineering, MLOps/AI Ops, AI/ML system design, team leadership, technical architecture, code ownership, stakeholder management
Preferred skills
AI-assisted development, intelligent automation for data quality, GenAI solution scaling
Technologies
Cloud-native data platforms, MLOps tools, AI/ML frameworks
Responsibilities
Lead development of the global Data and AI platform; Act as a hands-on technical leader owning architecture and coding; Design shared data models, KPIs, pipelines, and APIs; Apply AI to improve data quality and automate monitoring; Advance ML/AI Ops capabilities for model lifecycle management; Coach and mentor a talented engineering team
Seniority
Senior, hands-on IC with management responsibilities