Senior Analytics Leader, AI-Driven eCommerce & Supply Chain

babylist; United States; On-site; USD 180,000 - 230,000; Full time

Job summary

Babylist is seeking a Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain to partner with Health, Merchandising, Inventory and Fulfillment teams. You will influence the company\'s strategy through advanced analytics and work with executives to deliver actionable insights that guide growth.

You will roll up your sleeves and dive into data, systems and models, collaborating across the organization to ensure decisions are data-driven and impact-driven.

Qualifications

• Deep eCommerce or retail analytics experience with core KPIs for inventory, order economics, pricing and fulfillment costs.
• Proven ability to balance people management with hands-on analytics work and deliver high-impact analyses.
• Experience leading analysts and data scientists, with prioritization and coaching skills.

Responsibilities

• Lead and develop 5 experienced analysts and data scientists with coaching and quarterly goal setting.
• Own a meaningful book of actionable analytics across eCommerce, supply chain and health metrics.
• Partner with senior leaders and regularly engage with the executive team.
• Define KPI and reporting standards for the functions and advance AI-native analytics roadmap.
• Set high standards for AI-forward analytics and encourage cross-team idea sharing.

Skills

Ecommerce analytics

Data leadership

Stakeholder management

AI-native analytics

Strategy & prioritization

Executive collaboration

Team development

Data governance

Tools

Semantic layers

Context layers

AI-connected reporting

Job description

Babylist is seeking a Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain to partner with Health, Merchandising, Inventory and Fulfillment teams. You will influence the company\'s strategy through advanced analytics and work with executives to deliver actionable insights that guide growth.

You will roll up your sleeves and dive into data, systems and models, collaborating across the organization to ensure decisions are data-driven and impact-driven.