Senior Director, Analytics and Data Science, Core Product & Growth - Life360

About Life360

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 emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU) across more than 180 countries.

Life360 has more than 500 remote-first employees. We are an AI native company where AI is an integral part of how we build and operate.

About The Team

The Data & Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML. The science teams are organized into two sub teams, focusing on MAU and Revenue. This role leads decision science and data science within MAU.

You and your team will be responsible for understanding the drivers behind MAU: why members come, why they stay, and why they return. The team partners with product, marketing, and engineering to put those learnings into everyday work, and that work shapes our roadmaps.

About the Job

This Senior Director leads MAU Analytics and Data Science across acquisition, activation, engagement, and retention. You will own the measurement, standards, and how the team uses AI. You will report to the Head of Data and work closely with counterparts leading Revenue Analytics and Data Science, and with the leaders of Data Engineering.

What You'll Do

• 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.
• 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.
• Use agents and automated analysis daily, and shape how the team works AI-native.

What We're Looking For

• 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.
• Proficiency in 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.
• Hands-on experience with coding agents (Claude Code or equivalent) in your own analytical work.
• Bachelor's degree or equivalent.

Life360 Values

• Be a Good Person - We have a team of high integrity people you can trust.
• Be Direct With Respect - We communicate directly, even when it's hard.
• Members Before Metrics - We focus on building an exceptional experience for families.
• High Intensity, High Impact - We do whatever it takes to get the job done.