Job Responsibilities
Freight System Architecture & Roadmap
- Design and maintain comprehensive system architecture diagrams for the freight ecosystem
- Define the technical roadmap, aligning engineering initiatives with long-term business goals like scalability and digital transformation.
Freight Operations Digitalisation & Automation
- Translate business requirements into comprehensive system narratives and technical design specifications
- Provide developers and vendors with detailed blueprints, including database schema designs (tables, columns, data types), UI/UX mockups, mapping logic, validation/error-handling rules, and audit logging frameworks
Data Analytics, AI & Automation Engineering
- Design, build, and maintain Power BI dashboards and automated reports to provide logistics stakeholders with real-time visibility into freight performance, operational bottlenecks, and financial KPIs.
- Manage the end-to-end AI lifecycle, including the independent design, build, and production deployment of intelligent agents to automate manual freight processes.
Systems Integration & Technology Ecosystem Management
- Oversee integration with 3rd-party logistics platforms, ERP systems (e.g.,SAP), and freight vendors, managing technical relationships and SLAs.
- Define and track critical technical and business KPIs (e.g., system uptime, API response times).
- Conduct post-implementation audits to measure operational improvements
Stakeholder & Business Partnership Management
- Use data-driven scoring systems (e.g., RICE or WSJF) to prioritize the team's workload and balance new features against maintenance, security, and stability requirements.
- Bridge the gap between freight operations and engineering by deconstructing complex needs (e.g., customs compliance, real-time tracking) into actionable user stories and technical specs
Others
- Undertake assigned projects or duties as directed by Management.
Job Requirements
- Background in Supply Chain, Logistics, freight operations environment or as a software developer/data engineer environments is an advantage
- Comfortable operating in a fast-paced environment and like to hands on experimentation of emerging technology
- Ability to lead technical transitions, including staff training, system migrations, and go-live support projects.
- Able to execute RFP/RFI processes for selecting vendors, focusing on technical flexibility and long-term supportability.
- High level of expertise in Jira/Confluence for managing backlogs and cross-team dependencies.
- Strong analytical, problem-solving, and digital skills, with interest in AI-driven logistics / supply chain.
- Strong communication and stakeholder-engagement abilities across internal and external partners.
- Strong organizational and problem-solving skills
- Detail-oriented with a proactive, hands-on approach.
- Ability to work independently and manage multiple priorities
- Ability to lead cross-functional coordination and continuous-improvement / change management projects.
- Strong attention to detail and organisational skills
Professional Qualifications & Relevant Experience
- Bachelor's degree in computer science, Engineering, IT, or a related field.
- 7-10 years in product management, with at least 3 years in a technical role within logistics or freight forwarding.
- Industry certifications such as PMP, CSPO, CSCP is an advantage.
Interested applicants please send your resume to [Confidential Information]
Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
We regret that only shortlisted candidates will be contacted.
