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

Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with...

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basica...

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.
Own the MAU driver model and the forecast.
Own the exploratory work that drives the strategy to grow MAU.
Establish how an analysis gets scoped, run, reviewed, and written up, so its quality does not depend on who picked up the request.
Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.
Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.
Use agents and automated analysis daily, and expect the same of the team.
Shape how the team works AI-native: what gets delegated to agents, what gets automated, and what stays human judgment.

10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.
Deep expertise in inferential and causal analytics. Able to lead ML practitioners.
Expert knowledge of engagement, retention, churn, and cohort metrics.
Experience forecasting a company-level metric and being held to it.
SQL, plus Python or R. 
Experience with Databricks, third party experimentation tools (e.g. Statsig), Tableau or similar BI tools, and AI native BI tools (e.g. Hex, AI/BI).
Hands-on with coding agents (Claude Code or equivalent) in your own analytical work.
Bachelor's degree or equivalent.
Familiarity with experiment design to identify and control for network effects.
Master’s degree or PhD with an emphasis in social science, psychology or other behavioral science.
Experience leading a team that reports to you but sits embedded with product and engineering teams.
Experience in a B2C subscription business.
You have moved an analytics team from reactive to embedded.
You coach and develop people, and you have grown analysts into leaders.
On your teams, analysis starts from a hypothesis rather than a data request.
You have built the standards a team works from, and got people to use them.
You are curious about why people behave the way they do, not just what they did.
You decide what the team does not work on, and you can defend it.