Head of Data Science and Analytics

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home.

As a leader in the home services software-as-a-service (“SaaS”) space, we’ve built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies.

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED.

Job Title: Head of Data Science and Analytics
Location: United States
Workplace Type: Remote

Job Summary

The future is bright for the Porch Group, and we’d love for you to be a part of it as our Head of Data Science and Analytics.

We’re looking for a strategic and technically excellent leader to drive data science initiatives across Porch Insurance. This role is central to advancing our competitive edge in pricing, risk modeling, and customer retention using Porch’s proprietary property data. As a key member of our data and analytics leadership team, you’ll guide a high-performing group of data scientists and ML engineers, collaborating cross-functionally to deliver insights that materially improve business outcomes. If you're passionate about leveraging advanced analytics to shape the future of insurance, we want to hear from you.

What You Will Do As A Head of Data Science and Analytics

• Define, execute, and lead Porch Insurance’s data science strategy to drive premium growth, retention, and shareholder value

• Build and manage a high-performing team of data scientists, machine learning engineers, and analysts

• Design and implement predictive models, experiments, dashboards, and reports to support key business decisions

• Partner with senior executives, actuaries, product, and engineering to align on priorities and integrate insights across the organization

• Optimize data fidelity, accessibility, and usage across systems to improve modeling and operational outcomes

• Lead the technical roadmap and manage data science budgets, timelines, KPIs, and performance metrics

What You Will Bring As A Head of Data Scien