Senior Data Manager (Growth Product Insights)

The Athletic; United States; On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Paid Time Off

Paid Sick Leave

Paid Parental Leave

401 (k)

Short & Long Term Disability

Free Subscription

Competitive Health Care

HSA & FSA

Commuter Benefits

Job summary

The Athletic seeks a Senior Manager, Analytics to lead and scale Growth Product Insights after migrating to a modern data warehouse. You will be a hands-on leader, defining KPIs, guiding a growing team of analysts, and partnering with Product, Design, and Growth to translate subscriber and product data into strategic decisions.

You will drive experimentation, causal inference, and cohort modeling to inform roadmaps and optimize performance across digital destinations and apps.

Qualifications

• 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles
• 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
• Experience with modern BI / Data Visualization tools such as Looker, Tableau, or Mode
• Familiarity with version control workflows (Git, Github, code reviews) is highly preferred

Responsibilities

• Lead and scale Growth Product Insights practice as a Player-Coach
• Mentor, manage, and grow a team of Data Analysts
• Define KPIs and guide analytics strategy in collaboration with Product, Design, and Growth
• Oversee product experimentation, causal inference, and behavioral modeling
• Partner with upstream data and engineering to standardize metrics across the organization

Skills

Leadership

Analytical rigor

Experimentation

Stakeholder collaboration

Statistical modeling

SQL

Python or R

Education

Bachelor’s degree in quantitative field

Master’s degree or PhD preferred

Tools

Looker

Tableau

Mode

Git

Job description

• Join the data leadership team at The Athletic, the premier sports media division of The New York Times, and take ownership of a data pod. This is a critical data role that sits at the intersection of sports, digital subscriptions, and data strategy. This person will play a crucial role in advancing our analytics team to the next phase of development to help implement a best in class analytics practice
• We are seeking a Senior Manager, Analytics to lead and scale our Growth Product Insights practice. Following our recent migration to a modern data warehouse, you will act as a pivotal player-coach—bringing deep analytical rigor, defining key performance indicators, and guiding a growing team of data analysts. You will lead by example, building analytical models yourself while developing the talent around you to turn complex subscriber and product data into high-leverage business decisions
• 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

Benefits

• Paid Time Off
• Paid Sick Leave
• Paid Parental Leave
• 401 (k)
• Short & Long Term Disability
• Free Subscription
• Competitive Health Care
• HSA & FSA
• Commuter Benefits

1-3+ years of experience formally managing, leading, or mentoring data scientists or analysts, with a track record of elevating analytical judgment in othersFamiliarity with version control workflows (Git, Github, code reviews)highly preferred7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles delivering reporting, analysis, and strategic insightExperience with modern BI / Data Visualization tools such as Looker, Tableau, or ModeStrong background in experimentation (A/B testing), causal inference, and cohort/retention modeling within a digital subscription or media environmentProficiency in Python or R for statistical modeling, data manipulation, and deeper quantitative analysisBachelor's, Master's, or PhD in a quantitative field (Data Science, Statistics, Computer Science, Economics, Applied Math, or related field) highly preferredExperience navigating upstream data complexity and working with high-volume, real-time event data highly preferredExpertise 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 preferredExperience in digital media or subscription-based business model highly preferred