Director, Customer Intelligence Product at eBay

San Jose, California, United States

eBay Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Ecommerce, TechnologyIndustries

Requirements

  • 8+ years of experience in Customer data science, customer strategy and/or product roles, including 5+ years leading teams
  • Master’s degree or equivalent experience or above in a quantitative field, e.g., statistics, mathematics, physics, computer science, economics, engineering
  • Consistent track record building analytical products and customer data-science driven programs
  • Strong expertise in customer data, customer analytics and quantitative analysis approaches, including experience evaluating ML models with custom metrics and robust frameworks
  • Deep understanding of data governance methodologies
  • High-reaching, self-starter attitude; able to adapt to emerging challenges and implement under ambiguity
  • Experience with LLMs, prompt engineering, and RAG techniques (preferred)

Responsibilities

  • Lead and inspire the science & insights product strategy which helps eBay to better understand customers to provide a comprehensive, 360 view of each customer
  • Provide thought leadership on the customer segmentations and predicted signals that eBay needs to develop, based on internal and external customer data and developed using machine learning methods
  • Provide strategic direction to build a modern, sustainable data program in collaboration with the data management and architecture teams, to serve as the foundation for our customer-centric efforts and external data sharing strategy
  • Understand eBay’s internal data structure (domain owners, stewards etc.), internal data usage, and external data sharing risks and tie it back to the business needs
  • Lead the creation of regular updates to the executive leadership team and throughout the eBay global business on the health of the eBay customer base, spotting the opportunity areas and working with partners to drive strategies that help eBay grow
  • Collaborate closely with technology and data platform teams to (1) establish the guidelines and use cases for external data sharing and internal data cross-proliferation, and (2) apply the signals as features into other eBay customer facing solutions

Skills

AI
Data Science
Product Strategy
Customer Insights
Machine Learning
Leadership
Analytics
Ecommerce

eBay

Global online marketplace for buying and selling

About eBay

eBay is an online marketplace where individuals and businesses can buy and sell a wide range of products, including electronics, fashion, and collectibles. Users can list items for auction or use the 'Buy It Now' option for immediate purchases. eBay stands out from competitors with its vast selection, user-friendly interface, and strong buyer and seller protections, including free shipping on many items. The company's goal is to facilitate seamless transactions while generating revenue through transaction fees, advertising, and subscription services.

San Jose, CaliforniaHeadquarters
1995Year Founded
$6.5MTotal Funding
IPOCompany Stage
Consumer Software, Consumer GoodsIndustries
10,001+Employees

Benefits

Health Insurance
401(k) Company Match
Paid Vacation
Parental Leave

Risks

Niche e-commerce platforms like StockX and Poshmark may draw away eBay's customers.
Social media platforms with shopping features could divert traffic from eBay.
Direct-to-consumer brands bypassing marketplaces may reduce eBay's seller base.

Differentiation

eBay offers a unique auction-style listing alongside 'Buy It Now' options.
The platform provides robust buyer and seller protections, enhancing trust in transactions.
eBay's vast product selection includes new, refurbished, and second-hand items.

Upsides

eBay's acquisition of GSI Commerce strengthens its position as a global commerce partner.
The rise of social commerce offers eBay opportunities to integrate social shopping features.
Increased focus on sustainability aligns with eBay's refurbished and second-hand product categories.

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