Project manager (AI / Automation)

The Project Manager is responsible for coordinating and implementing all cross- functional improvement projects across Ashton Phu My, including areas of productivity enhancement, AI implementation, working condition improvement, and maintenance optimization.
This position acts as the main coordinator between multiple departments — Warehouse, Maintenance, HR, IT, and Production — to ensure that all initiatives are planned, executed, and monitored effectively. The Project Manager drives measurable results in efficiency, safety, cost reduction, and employee engagement, contributing to Ashton’s continuous improvement culture.
Project Coordination & Management

Collaborate closely with Warehouse, Maintenance, HR, IT, and Production teams to ensure smooth project execution.
Monitor project progress, identify risks, and propose corrective actions promptly.
Ensure project documentation, reports, and presentations are updated and shared with stakeholders.
Define project goals, scope, deliverables, and timelines in alignment with company objectives.
Lead and coordinate projects related to productivity improvement, AI application, automation, and working condition enhancement.

Cross- functional Communication

Serve as the key contact point between all departments involved in cross- functional projects.
Facilitate communication and problem- solving to avoid delays and ensure team alignment.
Organize project meetings, progress reviews, and update sessions with management.

Process Improvement & Innovation

Support the implementation of AI solutions and other digital tools to improve efficiency and data- driven decision- making.
Identify opportunities for process optimization and cost- saving through technology, layout redesign, or automation.
Collaborate with the HR and EHS teams to improve working environment and safety conditions in warehouse and maintenance areas.

Reporting & Evaluation

Prepare weekly/monthly reports on project progress, milestones, and KPIs.
Present project outcomes to senior management for review and approval.
Track ROI, productivity gains, and employee satisfaction outcomes of improvement projects.

Technical Skills

Warehouse Management Systems (WMS)- Knowledge of how WMS integrates with automation and AI tools
Automation Technologies – General Understanding of robotics, conveyor systems, automated storage and retrieval systems (AS/RS), and autonomous mobile robots (AMRs)
Data Analytics- Ability to interpret operational data, KPIs, and performance metrics
System Integration- Experience with integrating new technologies into existing warehouse infrastructure
IoT & Sensors- Understanding of connected devices and real- time monitoring systems
AI & Machine Learning Basics- Familiarity with predictive analytics, computer vision, inventory optimization algorithms, and demand forecasting

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Project Management Skills

Budget Management- Tracking ROI, capital expenditures, and operational savings
Vendor Management- Coordinating with technology providers, contractors, and consultants
Agile/Waterfall Methodologies- Structured approaches to manage complex implementations
Timeline & Milestone Tracking- Ensuring projects stay on schedule
Risk Management- Identifying potential implementation challenges and mitigation strategies

Soft Skills

Change Management- Helping teams adapt to new technologies and processes
Communication- Translating technical concepts to non- technical stakeholders
Leadership- Motivating teams through significant operational changes
Cross- Functional Collaboration- Working with IT, operations, finance, and leadership teams
Problem- Solving- Quickly addressing unexpected challenges during implementation

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Cập nhật gần nhất lúc: 2025-11-07 07:55:03