Employer description & source details
We’re looking for a data Product Manager to enable the data products behind how Kin prices risk, underwrites policies, runs actuarial analysis, and handles claims. The data that drives those calls lives in many systems, from the claims stack in Snapsheet and Xactimate to vendor loss modeling from RMS and Verisk, alongside our own underwriting and pricing data. This role sits in the middle of that and makes the data usable, so the teams making these decisions can see what is happening and why. You will enable the data products that drive those decisions rather than owning the calls yourself. That means finding the real question a team is trying to answer and shaping the datasets they need, then partnering with data engineering to build and ship them. 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, so a change in any of them is understood and handled 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, so analysis stays consistent and self serve Nail down what each metric means before it ships, since these numbers steer real money decisions on rate and risk selection Improve data quality and instrumentation so these decisions rest on numbers pe
Extracted skills: sql, data analytics, sales, recruiting, product management