Senior Manager, Data (Remote)

The Athletic; United States; Remote; USD 170,000 - 190,000; Full time

Job summary

The Athletic is seeking a Senior Manager, Analytics to lead and scale Growth Product Insights. You will own a data pod, define KPIs, and mentor analysts as you translate subscriber and product data into actionable business decisions.

Reporting to the Director, Data & Insights, this 100% remote role welcomes candidates in the United States or Canada. Strong SQL, Python/R, and experimentation expertise are essential, with a passion for sports media.

Qualifications

• 7+ years of progressive experience in data analytics, product analytics, or applied quantitative roles.
• Experience mentoring data scientists or analysts and elevating analytical judgment.
• Proficiency with SQL and large-scale data warehouses (Snowflake, BigQuery).
• Programming in Python or R for modeling and analysis.
• Experience with BI tools like Looker, Tableau, or Mode.
• Background in experimentation and causal inference for digital subscriptions.

Responsibilities

• Lead as a player-coach: manage, mentor, and grow a data analytics team.
• Drive proactive insights by shifting from dashboards to strategic inquiry.
• Partner with Product, Design, and Growth to influence roadmap strategy.
• Oversee experimentation, causal inference, and cohort modeling.
• Build trust in data with standardized, trusted metrics across the org.
• Leverage modern tools and AI to accelerate analysis and output.
• Align work with The Athletic’s mission and NYT standards.

Skills

Data analytics

Leadership

Product analytics

Experimentation (A/B)

SQL proficiency

Python or R

Stakeholder collaboration

Education

Quantitative degree

Tools

SQL & Cloud DWs

Python or R

Looker/Tableau/Mode

Git

Job description

About Us

Powered by one of the largest global newsrooms in sports media, The Athletic brings sports fans the most comprehensive stories about the teams, sports and athletes they love. The Athletic’s newsroom of 500+ full-time staff delivers in-depth coverage of hundreds of professional and college teams across more than 47 North American markets and all 20 football clubs in the English Premier League, as well as many Championship clubs.

About Us

Powered by one of the largest global newsrooms in sports media, The Athletic brings sports fans the most comprehensive stories about the teams, sports and athletes they love. The Athletic’s newsroom of 500+ full-time staff delivers in-depth coverage of hundreds of professional and college teams across more than 47 North American markets and all 20 football clubs in the English Premier League, as well as many Championship clubs.

About The Role

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.

In this role, you will report to the Director, Data & Insights.

This role is 100% remote for candidates currently residing in the United States or Canada.

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

Requirements

• 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 highly preferred.


• Familiarity with version control workflows (Git, Github, code reviews) highly preferred


• Experience navigating upstream data complexity and working with high‑volume, real‑time event data highly preferred


• Passion for sports media and digital publishing highly preferred


• Bachelor’s, Master’s, or PhD in a quantitative field (Data Science, Statistics, Computer Science, Economics, Applied Math, or related field) highly preferred.

The annual base salary range for this role is $170,000.00 - $190,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also include non‑cash rewards and benefits. The base salary range is subject to change and may be modified in the future.

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. 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.

For roles outside of the U.S., information on benefits will be provided during the interview process.

We are excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you are a candidate for a technical role, we will let you know what specific tools you are permitted to use for your technical assessment.

The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law.