PayPal-posted 8 months ago
$72,700 - $176,000/Yr
Full-time • Mid Level
Hybrid • Austin, TX
Credit Intermediation and Related Activities

As a Data Product Manager, you will operate at the heart of the Enterprise Platform & Experiences Organization, serving as the key liaison between engineering, product, and business stakeholders to drive value through data. Your mission is to make critical data accessible, actionable, and impactful—enabling internal teams to make smarter, faster, and more informed decisions. You'll define and deliver data product capabilities that support enterprise-wide reporting, reconciliation, and self-service analytics, while championing data best practices, product usability, and long-term scalability.

  • Partner with cross-functional stakeholders to understand business needs and prioritize them based on business impact
  • Build, manage, and continuously improve dashboards, data workflows, and self-service reporting tools for internal teams
  • Prioritize and deliver ad hoc analysis and insights while identifying opportunities for automation and reuse
  • Collaborate with data engineering and BI teams to source, model, and integrate internal and external datasets for analytics
  • Identify data accessibility gaps and contribute to scalable solutions that promote data democratization
  • Support the testing, validation, and rollout of new data products and enhancements to existing workflows
  • Define and implement automated mechanisms to track usage, performance, and quality metrics for internal data products, enabling visibility into product health and impact
  • Advocate for data best practices, including consistent metrics definitions, data governance principles, and clear documentation
  • 4+ years of experience in data product management, analytics, business intelligence, or related roles involving cross-functional data work
  • Proficiency in SQL, with the ability to write complex queries and understand query performance optimization
  • Hands-on experience with BI tools such as Tableau, Looker, Power BI, or similar, and understanding of their role in productized reporting
  • Experience working with cloud-based data platforms (e.g., Snowflake, BigQuery, GCP) to explore datasets, validate features, and support data product experimentation and delivery
  • Exposure to modern technologies, including the use of AI/ML for data enrichment, prediction, or product intelligence
  • Strong analytical thinking, structured problem-solving, and the ability to translate complex data needs into scalable product features
  • Proven ability to collaborate with cross-functional teams including engineering, analytics, and business stakeholders
  • Experience in a high growth technology company building, maintaining high-scale, data products
  • Ability to collaborate, build consensus, deliver, and drive technical decisions with various cross-functional stakeholders
  • Manage changing priorities and work on multiple projects concurrently
  • Be self-motivated and proactive in a fast-paced environment and flexible to work
  • Flexible work environment
  • Employee shares options
  • Health and life insurance
  • Annual performance bonus
  • Equity
  • Medical, dental, vision, and other benefits
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