Data Product Manager

6 hours, 44 minutes ago
Full-time
Mid Level
Data Science and Analytics
PartnerOne

PartnerOne

PartnerOne specializes in enterprise software solutions that manage extensive data environments through hyper automation, virtualized cloud storage, artificial intelligence, and metadata analytics, serving many of the world's largest corporations.

Media
51-250

Description

  • Manage initiatives to improve the data product offering in partnership with engineering and AI tools.
  • Investigate data quality issues independently and own the full feedback loop from root cause analysis to resolution.
  • Communicate clearly with Customer Success and customers about data issues, findings, and resolutions.
  • Design, develop, and implement QA procedures to proactively identify and prevent data integrity issues.
  • Build repeatable automated checks to reduce reliance on manual investigation.
  • Work closely with Customer Success, Sales, and Engineering to identify data integrity risks early.
  • Shape solutions and ship improvements that strengthen product trust and data quality.
  • Contribute to the launch of AI-powered product initiatives.
  • Improve the speed and consistency of data issue resolution.
  • Support clear documentation and reproducible analysis for investigations.

Requirements

  • 2-4 years of experience in a technical product management or analytics role at a data-heavy company.
  • Strong technical expertise with dataframes and complex data manipulation using Python, SQL, Pandas, or Spark.
  • Experience building and implementing QA for datasets.
  • A bias toward automating repetitive tasks and creating reproducible processes.
  • Experience using AI tooling to accelerate data analysis, investigation, and documentation.
  • Professional-level English proficiency, with English used for documentation, Slack, and meetings.
  • Experience owning or contributing to AI/ML-adjacent product initiatives is preferred.
  • Experience with large geospatial datasets is preferred.
  • Experience with PySpark, Scala, and Apache Sedona is preferred.
  • Experience communicating directly with customers is preferred.

Interested in this position?

Apply directly on the company website

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