Senior Data Product Manager

What you'll do

• Lead the end-to-end analytics instrumentation process for Firefly on web and mobile platforms.
• Define and manage the roadmap for product instrumentation to ensure high-quality data is available at launch.
• Establish key metrics for generative AI products, including activation, engagement, quality, and consumption economics.
• Build self-serve data products and experiences to reduce reliance on manual analyst pulls.
• Maintain a consistent data taxonomy and ensure high-integrity data across all platforms.
• Collaborate with engineering teams to define clear specifications, governance, and source-of-truth practices.
• Scale data products using automation and AI-assisted analytics to accelerate time-to-insight for partners.

What we're looking for

• 5+ years of product management experience building and delivering data products, platforms, and capabilities.
• 3+ years of hands-on analytics and technical proficiency in SQL and/or PySpark, data pipelines, and data modeling.
• Experience with a contemporary ecosystem for data processing such as Databricks, Splunk, Kafka, Adobe Analytics, or Tableau.
• Demonstrated ability to build and define a consistent taxonomy while reconciling discrepancies across sources.
• Practical experience with agile or scrum product development methodologies.
• Strong grasp of foundational statistics and analytics/engineering frameworks.
• Excellent interpersonal skills to translate complex technical findings into clear narratives for diverse audiences.
• BS, MS, or PhD in an analytical field such as statistics, mathematics, computer science, engineering, economics, physics, or equivalent experience.