Data Product Manager

📋 Description

• Dig past the first request to the real decision a pricing, underwriting, actuarial, or claims team
• Enable the data products behind those decisions, from the datasets that feed a rate review to the
• Connect data across the systems that hold it, including Snapsheet and Xactimate for claims and
• Build supporting datasets proactively, ahead of the questions, so teams can dig into a metric or a
• Scope and deliver data products in partnership with data engineering
• Own the data layer as the single source of truth for core insurance metrics like loss ratio and

🎯 Requirements

• 2 to 5 years in product management, data analytics, or an analytical role close to the insurance
• Real business sense for how data gets used to decide, ideally from time spent as an analyst making
• Advanced SQL, able to pull and join data across multiple sources on your own
• Comfort in a modern data stack such as Databricks and Looker
• The instinct to dig for the real question instead of taking the first request at face value
• Precise about definitions, since a metric that drives a pricing or claims decision has to mean one

🎁 Benefits

• Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our
• 401(k) with company match up to 4% of eligible earnings
• Multiple medical plan options, plus dental and vision coverage
• Company-funded HSA contributions (based on medical plan selection)
• Company-paid life insurance and short-term disability
• A variety of supplemental benefit options, including long-term disability, critical illness