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Product Data Science Lead


What you'll do

  • Own the backlog, scope, and delivery of data products
  • Define data requirements: granularity, latency, business rules, and quality expectations
  • Translate business questions into structured requirements and product backlogs
  • Coordinate ingestion, transformation, and consumption layers with engineering and architecture teams
  • Ensure data quality, trust, reuse, and governance compliance
  • Align with architecture, governance, and analytics stakeholders
  • Drive adoption and measurable value from delivered data products

What you bring

  • 5–12 years in data product management, data analysis, or data engineering
  • Strong understanding of data pipelines, data quality, lineage, and governance frameworks
  • Experience working with cross-functional teams
  • Strong ability to translate business needs into technical data requirements
  • Experience managing backlogs and delivering data products in Agile environments
  • Understanding of the end-to-end data lifecycle (ingestion to consumption)
  • Fluent English

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