Consumer Reports-posted 8 months ago
$185,000 - $195,000/Yr
Full-time • Senior
Remote • Yonkers, NY
Religious, Grantmaking, Civic, Professional, and Similar Organizations

Consumer Reports (CR) is an 88-year-young, non-profit, with a mission to create a fair and just marketplace for all, focusing on Safety, Sustainability, Financial Fairness, and Digital Rights. The organization is on a multi-year journey to transform how we use Data and AI more strategically. Customer Data is at the heart of our ability to understand, engage, and empower consumers — enabling us to drive personalized experiences responsibly. As Associate Director, Customer Data Platforms and Analytics Engineering, you will be responsible for implementing and operationalizing the evolution of Consumer Reports' Customer Data Platforms (CDPs), Analytics Engineering & Business Intelligence capabilities for analysis-ready datasets, reports, and services to augment decision-making, drive customer acquisition/retention, and power personalization initiatives. This role will report to the Director of the team while mentoring and managing others. If you're passionate about turning data into impact and building scalable customer data solutions, we'd love to hear from you! This is a remote position. This position is not eligible for sponsorship.

  • Develop, maintain, and optimize Customer Data Platforms (CDPs) to collect, unify, enrich, and activate customer data across multiple channels.
  • Build and optimize scalable data pipelines across lakehouses, data warehouses, and curated data marts.
  • Ensure clean, high-quality, and analytics-ready datasets that serve diverse organizational needs.
  • Leverage first-party data and behavioral segmentation to drive tailored consumer experiences.
  • Build and maintain Business Intelligence (BI) platforms and tools to support data-driven decision-making.
  • Master's degree in a STEM field.
  • At least 7 years of experience in Customer Data Platforms (CDPs), including 3+ years of managing high-performing teams.
  • Deep expertise in Python, SQL, and Unix Shell Scripting.
  • Comprehensive experience in building and scaling large-scale data warehouses and lakes (Databricks, Snowflake) on cloud platforms (AWS).
  • Experience designing ETL/ELT pipelines and developing BI platforms (Tableau, Domo, D3, etc.).
  • Ability to translate complex technical data concepts into actionable business insights.
  • Experience with AI-driven personalization, leveraging machine learning models and recommendation systems.
  • Working knowledge of the emerging data privacy landscape, including data privacy laws and privacy-by-design principles.
  • Medical benefits starting on the first day of employment, including behavioral health coverage and family planning.
  • Generous 401K match.
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