Note: The job is a remote job and is open to candidates in USA. The Athletic, the sports media division of The New York Times, is hiring a Senior Manager, Data to lead and scale its Growth Product Insights practice. The role combines hands-on analytics and team leadership, using subscriber and product data to guide business decisions and strengthen experimentation and measurement.
Responsibilities
- Lead as a Player-Coach: Manage, mentor, and grow a team of Data Analysts. Model analytical rigor, evaluate statistical approaches, and actively contribute to hands-on execution on ambiguous, high-stakes projects
- Drive Proactive Insights: Shift the team’s mindset from reactive "service analytics" and dashboard maintenance to proactive strategic inquiry. Focus on answering the *"why"* behind performance metrics and translating data into concrete business recommendations
- Act as a Strategic Data Partner: Embed with Product, Design, and Growth leaders as a thought partner to influence roadmap strategy, prioritize high-impact initiatives, and establish clear learning objectives before work begins
- Advance Experimentation & Measurement: Oversee product experimentation (A/B testing), causal inference, and behavioral/cohort modeling across digital destinations and app ecosystems, ensuring guardrails and success metrics are rigorously defined
- Build Trust in Data: Partner with upstream data and engineering teams to understand data pipelines, navigate complexity, and establish standardized, trusted metric definitions across the organization
- Leverage Modern Tools & AI: Integrate cutting-edge data tools and modern generative AI capabilities into daily workflows to streamline routine tasks, accelerate analysis, and increase overall team capacity
- Embrace Our Mission: Demonstrate strong commitment to our values, journalistic independence, and the broader mission of The New York Times Company
Skills
- 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles delivering reporting, analysis, and strategic insight
- 1–3+ years of experience formally managing, leading, or mentoring data scientists or analysts, with a track record of elevating analytical judgment in others
- Expertise in SQL and experience working with large-scale relational databases / modern cloud data warehouses (e.g., Snowflake, BigQuery)
- Proficiency in Python or R for statistical modeling, data manipulation, and deeper quantitative analysis
- 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
- Experience in digital media or subscription-based business model
- Familiarity with version control workflows (Git, Github, code reviews)
- Experience navigating upstream data complexity and working with high-volume, real-time event data
- Passion for sports media and digital publishing
- Bachelor's, Master's, or PhD in a quantitative field (Data Science, Statistics, Computer Science, Economics, Applied Math, or related field)
Benefits
- 100% remote for candidates currently residing in the United States or Canada
- For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock.
- For U.S. roles, benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
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