Digital Product Manager (E-Commerce)

We are looking for a Digital Product Manager to join our Digital Product team and collaborate in the evolution of our digital customer experience. This role will be responsible for identifying opportunities, defining requirements and coordinating cross-functional teams to deliver impactful digital products and features that drive business growth. The ideal candidate combines strong business acumen, customer-centric thinking, analytical capabilities, and project management skills. While not expected to be a technical expert, the candidate should be comfortable working with developers, understanding technical constraints, and managing digital implementations.

CORE JOB RESPONSIBILITIES Product Strategy • Identify opportunities to improve customer experience, conversion, engagement, and operational efficiency. • Gather and prioritize business requirements from multiple stakeholders. • Build business cases and define success metrics for product initiatives.

Product Delivery & Execution • Lead end-to-end delivery of digital initiatives, from discovery through implementation and post-launch optimization. • Translate business requirements into clear user stories and functional specifications. • Coordinate with UX/UI, Development, CRM, Analytics, and Marketing teams. • Manage product backlogs and prioritization processes. • Ensure timely delivery while balancing business impact, effort, and technical complexity.

Website & Platform Management • Manage and optimize digital experiences across the eCommerce ecosystem. • Oversee content slot management and landing page implementations. • Collaborate with internal teams and external partners to ensure platform consistency and performance. • Support ongoing website evolution and continuous improvement initiatives.

Data & Optimization • Monitor key business and product KPIs with the analytics team support. • Analyze customer behavior and user journeys to identify optimization opportunities. • Leverage analytics and user insights to drive decision-making. • Support A/B testing and experimentation programs. • Translate data into actionable recommendations.