- Own the roadmap and day-to-day decisions for your data product line from acquisition to client-facing delivery.
- Manage the full product lifecycle from problem definition through shipped, measured outcomes.
- Define data quality standards and partner with engineering on schema, pipeline design, and validation.
- Drive growth metrics including panelist acquisition, activation, retention, source coverage, and data freshness.
- Instrument and monitor key product metrics to inform roadmap prioritization.
- Translate raw data capabilities into clear client-facing insight products and dashboards.
- Execute roadmaps, specs, and sprints using tools like Linear and Notion.
- Integrate AI tools into your daily workflow and identify opportunities to incorporate AI/NLP capabilities into products.
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