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

Data Co Lab X; United States; Remote; USD 247,000 - 366,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Flexible PTO and holidays

Job summary

Life360 is seeking a Senior Director to lead MAU Analytics and Data Science for core product and growth. You will own the MAU model, set analytics standards, and coach a high-performing team across product, marketing, engineering, and revenue analytics leadership.

You will work in a remote-first environment across US and Canada, with deep technical credibility in SQL, Python/R, experimentation, and AI-enabled analytics workflows.

Qualifications

• 10+ years in analytics, data science, or decision science, with leadership experience.
• 5+ years in a senior/leadership role managing teams.
• Deep expertise in inferential and causal analytics.
• Experience forecasting a company-level metric and being held to it.
• SQL plus Python or R.
• Experience with Databricks, experimentation tools, Tableau or BI tools, and AI-native BI tools.
• Hands-on with coding agents in analytical work.

Responsibilities

• Lead and develop the decision scientists and data scientists on the team.
• Own the MAU driver model and the forecast.
• Set analytics standards and scalable operating practices across teams.
• Partner with product, marketing, engineering, and revenue analytics leadership.
• Drive AI-native analytics initiatives and responsible AI adoption.

Skills

Data Science Leadership

Decision Science

Causal Inference

Experiment Design

SQL

Python

Databricks

Tableau

AI-native Tools

People Management

MAU Forecasting

Retention Analysis

Cohort Analysis

Education

Bachelor’s degree or equivalent

Tools

Databricks

Tableau

Statsig

Claude Code

Job description

Life360# Senior Director, Analytics and Data Science, Core Product & GrowthReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.Apply for this job View companyRemote from: USA, CanadaSalary: USD 247k–366k / yrDepartment: Data Science & AnalyticsEmployment: Full TimeExperience: DirectorPublished: 21 Oct 2026Apply before: 20 Nov 2026Listing views: 824Application actions: 42Application toolkit## Make your next move.Prepare your resume, explore your fit, and draft a cover letter for this opportunity.AI Summary## The role, at a glance.Life360 is seeking a senior data and analytics leader to direct MAU-focused decision science and data science for its consumer product and growth organization. The role owns analysis, causal measurement, forecasting, experimentation standards, and strategic insight across acquisition, activation, engagement, and retention. This leader will manage and develop a team, establish durable analytical operating practices, and partner closely with product, marketing, engineering, and revenue analytics leadership. The position requires deep technical credibility in SQL, Python or R, experimentation, forecasting, behavioral metrics, and AI-enabled analytical workflows. It is a remote-first role available to candidates based in the United States and Canada.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity5/5EasyHard### Pace & Pressure5/5RelaxedFast-paced### Autonomy Level5/5GuidedFull ownership### Communication Load5/5IndependentCollaborative**AI insight**This is a senior-director role with accountability for a company-level MAU driver model and forecast, analytics quality standards, and the development of an experienced technical team. It requires both advanced causal and analytical expertise and executive-level influence across multiple functions.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job median (per year)Market rate**$306,500**US market range (per year)**$250k–$375k**0$412.50k**AI insight**The yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly lists a US annual base-salary range of $247,000–$366,000 USD, with a midpoint of $306,500. The estimated US market range for a Senior Director leading product analytics and data science is $250,000–$375,000 annually; actual total compensation may also include RSUs and benefits. A separate Canada range is disclosed in CAD for candidates based in Canada.## Core skillsSkills and capabilities most closely associated with this opportunity.Data Science LeadershipDecision ScienceCausal InferenceExperiment DesignProduct AnalyticsMAU ForecastingRetention AnalysisCohort AnalysisSQLPythonDatabricksTableauPeople ManagementAI Agents**Sample interview questions**Opportunity details## About this role.### About Life360Life360’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), as of June 30, 2026, across more than 180 countries.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 basically family).Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.***Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.***### We are AI NativeWe are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.### About The TeamThe 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.Our data is unusual for a consumer company. Life360 measures families and circles rather than individuals, so one member’s behavior affects another’s, which makes measurement a different problem than a standard funnel. With billions of location events, driving behavior, crash detection, and Tile and Pet GPS trackers, we get a rich picture of physical behavior that few consumer companies can build.### About the JobThis Senior Director leads MAU Analytics and Data Science.You and your team will work across acquisition, activation, engagement, and retention on the analysis, models, and experiments behind each. A lot of what this role owns needs to be built rather than maintained: the measurement, the standards, and how the team uses AI. The team is also raising its craft, and coaching people through that is an important part of the job. Within a year, your team members will be operating at an elevated skill level, proactively bringing key questions to light, and serving as trusted advisors whom stakeholders consult for strategic guidance rather than simple task execution.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.***For candidates based in the US, the salary range for this position is $247,000 to $366,000 USD. For candidates based out of Canada, the salary range for this position is $286,000 to $339,000 CAD.****We take into consideration an individual’s background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.**Total compensation is inclusive of equity compensation in the form of **Restricted Stock Units (RSUs)**, as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.*### 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, 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.### What We’re Looking For**Required Experience & Qualifications*** 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.**Nice to Have*** 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.**Core Expectations*** 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.### Our Benefits* Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.* 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.* Paid parental leave* Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being* Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns* Learning & Development programs* Equipment, tools, and reimbursement support for a productive remote environment.* Free Life360 Platinum Membership and Tile trackers.### Life360 ValuesOur company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference* 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.### Our Commitment to DiversityWe believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.*We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.**We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.* *Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!***#LI-Remote*** ### Upload your resume now + To unlock remote work opportunities and be discovered by global employers.Next step## Apply now.Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.### Continue on the employer websiteProtect your personal information and never pay to secure an interview or job offer. .