Product Data Analytics Lead
We're transforming insurance with AI, and we need a Product Data Analytics Lead who's ready to shape how millions of people experience insurance through data-driven insights!
You'll lead our Growth Product Analytics team - the people who turn user behavior into actionable product opportunities. You'll lead a team of analysts while working closely with Product Managers and other business stakeholders to turn user behavior into actionable insights.
As part of Lemonade's broader Analytics organization, you'll focus specifically on product analytics while collaborating with other Data and Analytics teams across the company.
We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Lead product analytics team, while fostering a culture of analytical excellence.
Gain deep understanding of Lemonades users behavior and translate complex behavioral patterns into clear, actionable recommendations
Prioritize your team's focus and mentor them to deliver insights with high impact on product decisions.
Partner with Product, Engineering, and business teams to prioritize work that moves the needle
Stay hands-on with strategic analyses while orchestrating your team's delivery on high-impact projects
Guide your team to uncover opportunities that others miss - the insights that become our competitive advantage
Help raise the analytics bar across Lemonade while contributing to our AI-driven initiatives
What you'll need
7–10+ years in product analytics, with deep expertise in user behavior analysis, funnel optimization, A/B testing, and KPI development
2–3+ years successfully leading analysts, including senior team members, with a people-first leadership approach
Advanced SQL skills and hands-on experience with modern analytics and AI tools
Excellent stakeholder management—you can communicate complex insights to anyone, from engineers to executives
Genuine enthusiasm for AI and its potential to transform how we understand and serve customers
Ready to work in an office environment most days of the week