Senior Supply Chain AI Manager(s)

Plan, initiate and manage Artificial Intelligence (AI) based technology projects of the breakthrough technologies in supply chain and inventory data analytics to ensure fast analytical solutions for retail and manufacturing business clients. Lead and guide the work of machine learning engineers, data scientists, software developers, and product teams. Serve as liaison between business and technical aspects of the product. Plan release stages and assess business implications for each stage. Monitor progress to assure release quality, release timeline, and cost targets are met.

Responsibilities

Plan, initiate and manage Artificial Intelligence (AI) based technology projects of the breakthrough technologies in supply chain and inventory data analytics to ensure fast analytical solutions for retail and manufacturing business clients; Lead and guide the work of machine learning engineers, data scientists, software developers, and product teams; Serve as liaison between business and technical aspects of the product; Plan release stages and assess business implications for each stage; Monitor progress to assure release quality, release timeline, and cost targets are met; Manage the IT projects for AI/Data Analytics driven prediction and optimization system development to ensure adherence to delivery quality, budget, schedule, and scope of the technology solution based on our Supply Chain AI product; Create and prepare IT project status reports by collecting, analyzing, and summarizing information and trends; Network, contact, and communicate with potential customers for new projects; Confer with data scientists in the project team to identify and resolve problems of each project to maintain sustained expansion of the technology solutions; Monitor and track the service projects milestones and deliverables by preparing the regular project status reports and presenting them to customers; Submit AI-based analytics project results to the management to ensure implementation and quality standards for SaaS solution; Assess current or future customers' technology needs, strategies, and problems by communicating directly with customers, conducting meetings, or other methods; Manage and assign work to Product Teams’ members to build a Product Roadmap to address technology needs, collect data and information for project status, proposals, and technical issues in system design and maintenance.

Requirements

Bachelor's degree (foreign equivalent acceptable) in Industrial Engineering, Engineering Management or a related field; minimum 5 years of experience in an Information Technology Company in Artificial Intelligence Data Analytics as a Data Scientist; 5 years’ experience must include conducting and leading data analytics/AI products, projects and solution for supply chain and inventory management; inventory optimization methodologies; retail inventory dynamics; hands-on time series forecasting; machine learning models such as prophet, xgb by utilizing R, Python or similar data analytics tools; Pyspark; Apache Airflow; SQL