Senior Manager, Data

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Lead, mentor, and develop a team of Data Analysts.

• Apply analytical rigor, assess statistical methodologies, and actively contribute to complex, high-stakes projects.

• Transition the team from reactive service analytics and dashboard upkeep to proactive strategic analysis.

• Clarify the rationale behind performance metrics and convert data into actionable business recommendations.

• Collaborate with Product, Design, and Growth leaders to shape roadmap strategies and prioritize initiatives with significant impact.

• Set clear learning objectives prior to the commencement of analytical tasks.

• Supervise product experimentation, including A/B testing, causal inference, and behavioral/cohort modeling across digital platforms and app ecosystems.

• Establish stringent guardrails and success metrics.

• Collaborate with upstream data and engineering teams to comprehend data pipelines and manage data complexities.

• Create standardized, reliable metric definitions across the organization.

• Incorporate modern data tools and generative AI capabilities into everyday workflows.

• Uphold The Athletic’s values, journalistic independence, and the mission of The New York Times Company.

• Report to the Director of Data & Insights.

⛳️ Requirements

• Over 7 years of progressive experience in data analytics, product analytics, or applied quantitative roles, providing reporting, analysis, and strategic insights.

• 1–3 years of experience in formally managing, leading, or mentoring data scientists or analysts.

• Proficiency in SQL.

• Experience with large-scale relational databases and contemporary cloud data warehouses, such as Snowflake or BigQuery.

• Skilled in Python or R for statistical modeling, data manipulation, and advanced quantitative analysis.

• Familiarity with modern BI/data visualization tools like Looker, Tableau, or Mode.

• Strong foundation in experimentation (A/B testing), causal inference, and cohort/retention modeling within a digital subscription or media context.

• Background in digital media or subscription-based business models is highly preferred.

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

• Experience in navigating upstream data complexities and working with high-volume, real-time event data is highly preferred.

• A passion for sports media and digital publishing is highly preferred.

• A Bachelor’s, Master’s, or PhD in a quantitative field is highly preferred.

🏝️ Benefits

• Variable pay options, such as an annual bonus and restricted stock, may be available for U.S. roles depending on the position.

• Medical, dental, and vision benefits.

• Flexible Spending Accounts (F.S.A.s).

• Company-matching 401(k) plan.

• Paid vacation.

• Paid sick days.

• Paid parental leave.

• Tuition reimbursement.

• Professional development programs.