Data Product Manager - Grow & Logistics

This person will connect business strategy, data engineering, data science, and analytics to develop scalable solutions that improve customer service through frontline telesales and logistics agents.

The scope includes initiatives such as using intelligence to determine which customers agents should contact and which tasks they should prioritize; monitoring call execution and agent productivity KPIs; recommending order values and delivery dates; and monitoring orders with flexible delivery dates and the amounts charged for delivery.

The successful candidate combines strong analytical and technical skills with product leadership, agile execution, stakeholder management, and the ability to lead large multidisciplinary teams.