Data Product Manager, Insurance Data Solutions (Remote)

Kin Insurance; Saint Petersburg (FL); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Restricted Stock Units (RSUs)

401(k) with company match

Medical, dental, vision insurance

Company-funded HSA

Life insurance

Short-term disability

Flexible PTO

Parental leave

Job summary

Kin Insurance is seeking a data Product Manager to enable data products that drive pricing, underwriting, actuarial analysis, and claims. You’ll shape datasets and partner with data engineering to ship them, enabling teams to see what’s happening and why.

You will focus on the real questions behind requests, building proactive datasets and ensuring a single source of truth for key metrics like loss ratio and pricing accuracy. Remote-first, with offices in Chicago and St. Petersburg, FL.

Qualifications

• 2 to 5 years in product management, data analytics, or an analytical role close to the insurance business.
• Real business sense for how data gets used to decide, ideally from time spent as an analyst making recommendations.
• 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.

Responsibilities

• Dig past the first request to the real decision a pricing, underwriting, actuarial, or claims team is trying to make, asking why enough times to get there.
• Enable the data products behind those decisions, from the datasets that feed a rate review to the views a claims team works from.
• Connect data across the systems that hold it, including Snapsheet and Xactimate for claims and vendor loss modeling from RMS and Verisk.
• Build supporting datasets proactively, ahead of the questions, so teams can dig into a metric or a problem without waiting on a new pull.
• 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 pricing accuracy.
• Nail down what each metric means before it ships, since these numbers drive money decisions.
• Improve data quality and instrumentation so decisions rest on trusted numbers.
• Translate messy, multi source data into a clear story and a recommendation someone can act on.
• Partner across pricing, actuarial, underwriting, claims, and data engineering so insight turns into decisions.

Skills

Advanced SQL

Looker

Databricks

Cross-functional partnership

Data analytics

Communication with technical and biz

Scope data products with eng

Insurance domain knowledge

AI for throughput

Tools

Snapsheet

Xactimate

RMS

Verisk

Databricks

Looker

Job description

Kin Insurance is seeking a data Product Manager to enable data products that drive pricing, underwriting, actuarial analysis, and claims. You’ll shape datasets and partner with data engineering to ship them, enabling teams to see what’s happening and why.

You will focus on the real questions behind requests, building proactive datasets and ensuring a single source of truth for key metrics like loss ratio and pricing accuracy. Remote-first, with offices in Chicago and St. Petersburg, FL.