Senior Director, Analytics and Data Science, Core Product & Growth

Accountabilities:

• Lead and develop decision scientists and data scientists, establishing a high quality bar while coaching team members toward greater technical expertise, strategic thinking, and leadership.

• Own the models and forecasts used to understand and predict monthly active user growth, including the key drivers behind acquisition, activation, engagement, retention, and churn.

• Lead exploratory and strategic analytics that identify opportunities to grow the user base and translate behavioral insights into actionable product and business priorities.

• Establish consistent standards for how analytical work is scoped, conducted, reviewed, communicated, and documented, ensuring quality and rigor across the team.

• Partner with Revenue Analytics and Data Engineering leadership to define common metrics, experimentation standards, and shared operating practices.

• Build an operating model that enables the analytics and data science organization to engage earlier in product and engineering roadmaps, influencing what should be built, measured, and tested.

• Apply AI-native approaches to analytical work, including coding agents, automated analysis, and intelligent tooling, while defining which activities should be automated and where human judgment remains essential.

• Bring strong inferential and causal thinking to product and growth questions, helping teams understand not only what users do but why they behave the way they do.

• Provide senior leadership with clear, evidence-based recommendations and determine which analytical questions deserve investment and which should not be pursued.

• Collaborate across a data-rich consumer technology environment involving billions of behavioral and location-related events, subscription activity, connected devices, and complex network effects.

Requirements:

• 10+ years of experience in analytics, data science, decision science, or a closely related discipline, including at least 5 years in people management at a senior leadership level.

• Deep expertise in inferential and causal analytics, with the ability to lead and effectively challenge machine learning practitioners.

• Strong knowledge of engagement, retention, churn, cohort analysis, and other metrics used to understand consumer behavior and growth.

• Proven experience forecasting a company-level business metric and being accountable for the resulting outcomes.

• Strong technical proficiency with SQL and Python or R, combined with the ability to work confidently with modern data and analytics platforms.

• Experience with Databricks, experimentation platforms such as Statsig, Tableau or comparable BI tools, and AI-native analytics tools such as Hex or AI/BI.

• Hands-on experience using coding agents such as Claude Code or equivalent tools in analytical workflows, with a demonstrated willingness to work AI-first.

• Bachelor's degree or equivalent practical experience required; a master's degree or PhD in social science, psychology, behavioral science, or a related field is a plus.

• Demonstrated success transforming analytics teams from reactive request fulfillment into embedded, proactive strategic partners.

• Strong people-development skills, including a track record of growing analysts and data scientists into senior contributors and leaders.

• Experience establishing analytical standards, operating models, experimentation practices, and quality frameworks that teams consistently adopt.

• Strong curiosity about human behavior and the ability to formulate hypotheses rather than simply respond to data requests.

• Excellent executive communication, prioritization, influencing, and stakeholder-management skills, with the judgment to determine where the team should focus its resources.

• Experience working with product and engineering teams in an embedded model and familiarity with B2C subscription businesses is highly desirable.

• Familiarity with experimentation involving network effects is a plus.

Benefits:

• US base salary range of $247,000-$366,000 USD, with final compensation determined by factors including location, experience, skills, and background.

• Comprehensive medical, dental, vision, life, and disability insurance, with plans fully paid for US employees.

• Equity as part of the overall compensation package.

• 401(k) plan with company matching.

• Paid parental leave.

• Mental Wellness Program and Employee Assistance Program.

• Flexible paid time off, company holidays, and summer and winter shutdown periods.

• Learning and development programs supporting ongoing professional growth.

• Equipment, tools, and reimbursement support for a productive remote working environment.

• Free premium membership and connected tracking devices as employee perks.

• Remote-first working environment, allowing employees to work remotely within the US and Canada unless otherwise specified.

• Mission-driven culture centered on integrity, direct communication, customer focus, and high-impact execution.

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