Data Product Manager, Global ECommerce Supply Chain System (Annual Income Over $100,000)

Establish clear goals for inventory optimization - such as minimizing stockouts, reducing overstock, or improving replenishment cycles - aligned with overall business strategy.
Create and maintain a product roadmap that prioritizes initiatives (e.g., real-time inventory monitoring, and automated reordering systems).
Collaborate with supply chain teams, operations, finance, marketing, and customer service to understand pain points and business needs.
Translate business problems into clear, actionable product requirements and user stories for data science and engineering teams.
Work closely with data scientists, engineers, UX/UI designers, and business analysts to build and refine data products
Partner with data scientists to design, test, and validate predictive models and algorithms
Work with analytics teams to build dashboards and visualizations that provide real-time insights
Oversee the integration of disparate data sources (e.g., sales, supplier data, and warehouse systems) to create a unified view for analytics.

Background in Data Science, Data Engineering, Data Analysis, or Product Management, ECommerce, inventory
Knowledge of statistical modeling and machine learning techniques
Proficiency in data analysis tools like Excel, SQL, Python, and data visualization software
Strong problem-solving skills and ability to think analytically
Strong verbal and stakeholder-facing communication skillset
Solid documentation writing skills
English proficiency
Knowledge of 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
Experience in managing projects, including setting timelines, milestones, and deliverables