Data Product Owner

Role Overview

• Define and prioritize enterprise data initiatives that support finance, actuarial, claims, compliance, program performance, and operational reporting.
• Serve as the product owner for key data domains and data products, maintaining roadmaps and prioritizing backlog items based on business value and regulatory needs.
• Partner with assigned stakeholder groups across claims, actuarial, finance, operations, and compliance to gather requirements and align data solutions with strategic objectives.
• Translate business requirements into clearly defined data product specifications, user stories, and acceptance criteria for technical teams.
• Ensure data products meet standards for quality, accessibility, governance, and regulatory compliance across the organization.
• Collaborate with Technology, data engineering, and analytics teams to design and deliver scalable data solutions, dashboards, and reporting capabilities.
• Oversee the lifecycle of data products including requirements, design, development, testing, deployment, and ongoing enhancement.
• Support insurance regulatory and bureau reporting initiatives (including statistical reporting such as NISS and other regulatory data submissions).
• Promote data governance, data quality, and standardized definitions across insurance program and operational data.
• Identify opportunities to improve underwriting insight, portfolio monitoring, and operational performance through enhanced data capabilities.
• Facilitate cross-functional collaboration to ensure data initiatives align with enterprise architecture, security, and compliance frameworks.
• Act as a subject matter expert on P&C insurance data structures, reporting workflows, and regulatory data requirements.

Requirements

• Bachelor’s degree in Information Technology, Data Analytics, Business, or a related field (or equivalent work experience).
• 8+ years of experience in the Property & Casualty (P&C) insurance industry with strong exposure to underwriting, program business, regulatory reporting, and insurance data management.
• 5+ years of experience working with insurance data, analytics, or data product management.
• Experience working with cross-functional stakeholders and delivering enterprise data initiatives.
• Proficiency with SQL or similar data querying tools and experience working with modern data platforms and BI tools.

Tech Stack

• SQL

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development
• Bonuses