CRM Analytics Lead: Personalization & AI Growth

eBay

San Jose (CA)

On-site

USD 170,000 - 228,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
401(k) eligibility
Paid time off
Parental leave

Job summary

eBay is seeking a CRM Analytics Manager to lead the next generation of customer intelligence and personalization. You will define measurement strategies, shape AI-powered decisioning, and influence CRM investments across buyer, seller, and company initiatives.

In this highly visible role, you will advance personalization, experimentation, and automation while improving customer lifetime value, collaborating across Analytics, AI, Product, Marketing, and Customer Growth.

Qualifications

  • When applying, show leadership in CRM analytics delivering measurable outcomes.
  • Proven experience with ML/AI applications for CRM and personalization.
  • Strong SQL and Python for large-scale analysis and modeling.
  • Ability to translate analytics into strategic business recommendations.

Responsibilities

  • Define success metrics, learning agendas, and measurement frameworks for CRM.
  • Develop ML/AI solutions (propensity, churn, uplift, recommendations) for CRM.
  • Lead rigorous A/B and causal measurement to accelerate CRM learning.
  • Build scalable analytics foundations with automated data pipelines and self-service reporting.
  • Optimize CRM channels and journeys with data-driven targeting and content.
  • Translate insights into recommendations and mentor cross-functional partners.

Skills

CRM analytics leadership
Machine learning for CRM
Experimentation & statistics
SQL & Python proficiency
Communication & influence

Tools

SQL
Python
Spark
Databricks
Airflow

Job description

eBay is seeking a CRM Analytics Manager to lead the next generation of customer intelligence and personalization. You will define measurement strategies, shape AI-powered decisioning, and influence CRM investments across buyer, seller, and company initiatives.

In this highly visible role, you will advance personalization, experimentation, and automation while improving customer lifetime value, collaborating across Analytics, AI, Product, Marketing, and Customer Growth.

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