Senior Manager, Data Analytics

Posted 1hrs ago

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Job Description

Senior Manager leading AI-native analytics across Babylist’s e-commerce, health, and supply chain businesses. Managing analysts while shaping data strategy, KPIs, and self-serve analytics.

Responsibilities:

  • Partner with Health, Merchandising, Inventory Management, and Fulfillment teams
  • Influence company strategy through advanced business analytics
  • Lead and develop 5 experienced analysts and data scientists through prioritization, coaching, quarterly goal-setting, and stakeholder handoffs
  • Own actionable analysis across eCommerce, supply chain, and health
  • Partner directly with senior leaders and the executive team
  • Define and steward KPI and reporting standards
  • Advance the AI-native analytics roadmap and self-serve data tools
  • Champion AI-forward analytics practices across the team
  • Build a culture of Data Analytics excellence and strategic partnership
  • Deliver accurate and timely analysis, insights, and recommendations
  • Translate business priorities into a prioritized analytics roadmap and make tradeoff recommendations

Requirements:

  • Deep eCommerce or retail analytics experience
  • Fluency in inventory, order economics, pricing, fulfillment, and supply chain KPIs
  • Proven ability to balance people management with hands-on individual-contributor work
  • Experience managing experienced analysts
  • Experience partnering with VP+ stakeholders and executive teams
  • Hands-on experience with AI-native analytics, including semantic layers, context layers, or AI-connected reporting
  • 8+ years of experience, ideally in a data role at a high-growth consumer technology or e-commerce company
  • 5+ years of experience at manager level
  • Regular use and curiosity about AI tools
  • Strong ownership, intellectual curiosity, creative and critical thinking, and ability to manage multiple priorities
  • High attention to detail and ability to evaluate analyses within strategic business context
  • Extensive experience in data analytics, big data technologies, and statistical modeling
  • Strong knowledge of data governance, data quality management, and data strategy principles

Benefits:

  • 20% target bonus
  • Competitive equity
  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching
  • Flexible spending accounts
  • Generous paid parental leave and PTO
  • Winter Wonder Week: the whole company takes a paid week off at the end of the year
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
  • Leading tools like Claude and ChatGPT from day one
  • Competitive pay and meaningful opportunities for career advancement
  • Career progression and performance-based advancement
  • Twice-yearly company gatherings