Data Product Manager: Insurance Decision Platforms

kin; United States; A distancia; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Kin is seeking a Data Product Manager to enable data products that drive how pricing, underwriting, actuarial analysis, and claims are handled. You will shape datasets, connect across systems, and partner with data engineering to ship data assets used by pricing and risk teams.

You will own the data layer, ensure the metrics are well-defined, and translate complex multi-source data into actionable recommendations for decision-making across pricing, underwriting, and claims teams.

Formación

• 2 to 5 years in product management, data analytics, or an analytical role close to the insurance business.
• Experience translating messy data into usable datasets and insights.
• Strong sense for how data informs pricing, underwriting, actuarial, or claims decisions.

Responsabilidades

• Dig past the initial request to reach the real decision the pricing, underwriting, actuarial, or claims team seeks to make.
• Enable data products behind decisions by shaping needed datasets and partnering with data engineering.
• Connect data across systems (e.g., claims stack, vendor models) to understand changes and impacts.
• Build datasets proactively so teams can explore metrics without delays.
• Scope and deliver data products in collaboration with data engineering.
• Own the data layer as the source of truth for core insurance metrics.
• Translate multi-source data into clear narratives and actionable recommendations.
• Collaborate with pricing, actuarial, underwriting, claims, and data engineering to turn insights into decisions.

Conocimientos

Data product management

Data analytics

Insurance domain

Cross-functional collaboration

Descripción del empleo

Kin is seeking a Data Product Manager to enable data products that drive how pricing, underwriting, actuarial analysis, and claims are handled. You will shape datasets, connect across systems, and partner with data engineering to ship data assets used by pricing and risk teams.

You will own the data layer, ensure the metrics are well-defined, and translate complex multi-source data into actionable recommendations for decision-making across pricing, underwriting, and claims teams.