Senior Data Manager (Growth Product Insights)

Join The Athletic, the premier sports media division of The New York Times, as a Senior Data Manager. In this critical role, you will lead and scale our Growth Product Insights practice, driving proactive insights and acting as a strategic data partner. You will also oversee product experimentation and measurement, build trust in data, leverage modern tools and AI, and embrace our mission. The ideal candidate will have 1-3+ years of experience managing data scientists or analysts, 7+ years of experience in data analytics, and a strong background in experimentation and causal inference.

• Lead and scale the Growth Product Insights practice, managing and mentoring a team of Data Analysts while actively contributing to hands-on execution on high-stakes projects.
• Drive proactive insights by shifting the team’s mindset from reactive analytics to strategic inquiry, focusing on answering the "why" behind performance metrics.
• Act as a strategic data partner by embedding with Product, Design, and Growth leaders to influence roadmap strategy and prioritize high-impact initiatives.

• 1–3+ years of experience formally managing, leading, or mentoring data scientists or analysts, with a track record of elevating analytical judgment in others
• Familiarity with version control workflows (Git, Github, code reviews)highly preferred
• 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles delivering reporting, analysis, and strategic insight
• Experience with modern BI / Data Visualization tools such as Looker, Tableau, or Mode
• Strong background in experimentation (A/B testing), causal inference, and cohort/retention modeling within a digital subscription or media environment
• Proficiency in Python or R for statistical modeling, data manipulation, and deeper quantitative analysis
• Bachelor’s, Master’s, or PhD in a quantitative field (Data Science, Statistics, Computer Science, Economics, Applied Math, or related field) highly preferred
• Experience navigating upstream data complexity and working with high-volume, real-time event data highly preferred
• Expertise in SQL and experience working with large-scale relational databases / modern cloud data warehouses (e.g., Snowflake, BigQuery)
• Passion for sports media and digital publishing highly preferred
• Experience in digital media or subscription-based business model highly preferred