About the job
Local or Fully Remote
About Point Digital Finance
Real Impact, Real People: At Point, our mission is to enhance the value and accessibility of homeownership. Your contributions will empower homeowners to unlock their wealth, achieve financial flexibility, and pursue transformative life goals.
Funding: With over $175 million raised from prestigious investors including Andreessen Horowitz, WestCap, Greylock, and Prudential, we are rapidly scaling! This is your chance to join us during a pivotal growth phase.
Game-changing Product: We are pioneering a category-defining company in home equity, boasting a remarkable 4.7 Trustpilot rating and an A+ accreditation from the Better Business Bureau, reflecting the value we bring to over 20,000 customers.
Great Place to Work: Our employees genuinely enjoy working here! We are recognized as a Certified Great Place to Work and one of Fortune's Best Workplaces in the Bay Area.
Remote-First Culture, Genuine Connection: Enjoy the flexibility of working from anywhere in the U.S., while maintaining close connections through virtual collaboration, team gatherings, and a people-first culture.
About the Role
We are seeking a senior, hands-on data leader to step into the role of Head of Data at Point. You will oversee our analytics, data engineering, and data science teams, focusing on leveraging data to enhance business decisions and create measurable impact across the organization.
Inheriting a modern data platform and robust technical foundation, you will be tasked with elevating analytical rigor, experimentation, and business impact. This leadership position is ideal for someone who enjoys setting the strategic direction, being closely involved in the work, and ensuring data initiatives align with the most critical business challenges. This role reports directly to our Chief Growth Officer.
Your Responsibilities
- Drive the vision, strategy, and execution of Point's data function encompassing analytics, data engineering, and data science.
- Manage and refine a modern data stack (Snowflake, dbt, Airflow, Fivetran, Estuary, Sigma, Hightouch, PostHog), emphasizing data modeling, metrics design, and analytical usability.
- Establish company-wide metric definitions, experimentation standards, and analytics prioritization, ensuring clarity, consistency, and accountability in decision-making.
- Lead and actively contribute to Point’s analytics function, ensuring insights, metrics, and experimentation align with our business objectives.

