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

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

📋 Description

• Lead and nurture the decision scientists and data scientists within the team, establishing high standards for both fields.

• Take ownership of the MAU driver model and its forecasting.

• Oversee exploratory initiatives that inform strategies for MAU growth.

• Define the processes for scoping, executing, reviewing, and documenting analyses.

• Collaborate with leadership from Revenue Analytics and Data Engineering to establish common metrics, standardize experimentation practices, and implement cohesive operating procedures.

• Develop an operating model that integrates the team into roadmap discussions early, influencing development and testing priorities.

• Utilize agents and automated analyses on a daily basis, setting the same expectation for the team.

• Shape the team’s approach to AI-native practices, determining the delegation to agents, automation, or human oversight.

• Report directly to the Head of Data.

• Collaborate closely with counterparts in Revenue Analytics and Data Science, as well as leaders in Data Engineering.

• Direct decision science and data science efforts related to MAU across acquisition, activation, engagement, and retention.

⛳️ Requirements

• A minimum of 10 years of experience in analytics, data science, or decision science, with at least 5 years in a senior leadership role involving people management.

• Extensive expertise in inferential and causal analytics.

• Capability to lead machine learning practitioners.

• In-depth knowledge of engagement, retention, churn, and cohort metrics.

• Proven experience in forecasting a company-level metric and being accountable for it.

• Proficiency in SQL, along with Python or R.

• Familiarity with Databricks.

• Experience using third-party experimentation tools (e.g., Statsig).

• Proficient in Tableau or similar BI tools.

• Experience with AI-native BI tools (e.g., Hex, AI/BI).

• Hands-on experience coding agents (Claude Code or equivalents) in analytical work.

• A Bachelor's degree or equivalent qualification.

• Understanding of experiment design to identify and manage network effects.

• A Master's degree or PhD focused on social science, psychology, or another behavioral science.

• Experience in leading a team that reports to you but is embedded within product and engineering teams.

• Experience in a B2C subscription business environment.

• Proven success in transforming an analytics team from a reactive to an embedded model.

• Strong coaching skills, with a track record of developing analysts into leaders.

• On your teams, analysis is initiated from hypotheses rather than mere data requests.

• You have established the standards for team operations and successfully encouraged adherence to them.

• A curiosity about the reasons behind people's behaviors, not just their actions.

• You can determine and justify what the team will not focus on.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans (fully covered for US employees).

• Supplemental medical and dental insurance options for Canadian employees.

• A 401(k) plan with a company matching program available in the US.

• RRSP with DPSP plan for employees in Canada.

• Paid parental leave.

• Mental Wellness Program & Employee Assistance Program (EAP) to support mental health.

• Flexible paid time off (PTO).

• Company-wide holidays throughout the year.

• Summer and winter shutdown periods.

• Opportunities for Learning & Development.

• Provision of equipment, tools, and reimbursement to ensure a productive remote working environment.

• Complimentary Life360 Platinum Membership and Tile trackers.

• Equity participation.

• Comprehensive benefits including medical, dental, vision, financial, and more.