Data Product Manager

Position: Data Product Manager, Global eCommerce Supply Chain System
Location: Hai Ba Trung District, Hanoi
Salary: Total annual income over $100,000
Experience: Minimum 5 years of experience in related fields
Type of Work: Fulltime
Gender: Any

About Our Client

Our client is a high-growth, technology-driven e-commerce business that has achieved significant success in a short time. Formed in 2020, the company has reached over $100 million in revenue by 2024, with an exceptional growth rate of over 1000%. They specialize in developing a comprehensive Global eCommerce Platform focused on Supply Chain Management, including Inventory Management, Manufacturing Management, and Order Fulfillment. The platform currently supports over 100,000 product variants and is built with cutting-edge technologies to enhance operational efficiency.

As part of their Technology Innovations Department, you will work in an Agile, tech-startup environment that fosters a Unicorn-worthy culture.

Why Join Them?

• Exceptional Compensation: Up to 30 months of salary per year through competitive salary packages and performance-based bonuses, with a total annual income exceeding $100,000.
• Growth Opportunities: Hands-on experience with cutting-edge technologies and exposure to complex system architecture in a global business. Clear career advancement pathways and continuous professional development programs.
• Global Vision: Contribute to projects that redefine how brands connect with consumers globally, working on challenging problems in data analytics and operational efficiency.

What You Will Do

• Inventory Optimization: Establish clear goals for optimizing inventory, such as minimizing stockouts, reducing overstock, and improving replenishment cycles, aligned with the overall business strategy.
• Product Roadmap: Create and maintain a product roadmap prioritizing initiatives like real-time inventory monitoring and automated reordering systems.
• Cross-Department Collaboration: Work closely with supply chain teams, operations, finance, marketing, and customer service to understand business needs and pain points.
• Translating Business Needs: Convert business challenges into clear, actionable product requirements and user stories for data science and engineering teams.
• Collaboration with Data Teams: Partner with data scientists, engineers, UX/UI designers, and business analysts to build and refine data products.
• Predictive Models & Algorithms: Collaborate with data scientists to design, test, and validate predictive models and algorithms to optimize supply chain processes.
• Real-time Insights: Work with analytics teams to develop dashboards and visualizations that provide real-time insights into inventory and supply chain performance.
• Data Integration: Oversee the integration of various data sources (e.g., sales, supplier data, warehouse systems) to create a unified analytics view.

What They Are Looking For

• Background: Experience in Data Science, Data Engineering, Data Analysis, or Product Management.
• Technical Skills: Proficiency in data analysis tools such as Excel, SQL, Python, and data visualization software.
• Statistical & Machine Learning Knowledge: Knowledge of statistical modeling and machine learning techniques for supply chain optimization.
• Problem-Solving Skills: Strong analytical and problem-solving abilities.
• Communication Skills: Strong verbal and stakeholder-facing communication skills, with the ability to present complex ideas clearly.
• Documentation: Solid writing skills for creating clear product documentation.
• English Proficiency: Fluent in English.
• Agile Methodologies: Familiarity with Agile methodologies and experience working in Agile environments.

Preferred (but not required):

• Strong business acumen and understanding of e-commerce operations.
• Experience with inventory management systems and software.
• Project management experience, including setting timelines, milestones, and deliverables.