Policy Data Product Owner (Insurance)

Location: Remote, based in Daytona Beach, FL, USA

Salary: $140,000–$160,000 annual

Company

Brown & Brown is an insurance company seeking a Policy Data Product Owner for its growing team.

What you will do

• Define the Policy data product vision, strategy, roadmap, release priorities, backlog, acceptance criteria, and value measures.
• Own policy-domain datasets and analytical products covering policy details, transactions, coverage, premium, revenue, carriers, intermediaries, placement, renewals, retention, insureds, producers, offices, lines of business, and reference data.
• Translate stakeholder and reporting needs into product features, user stories, metric definitions, release plans, documentation, and enablement materials.
• Partner with engineering, BI, governance, finance, operations, placement, policy administration, and business stakeholders on source requirements, transformation rules, data quality, security, and delivery dependencies.
• Lead validation, reconciliation, stakeholder signoff, defect triage, release readiness, launch communications, adoption tracking, and continuous improvement.
• Enable dashboards, scorecards, semantic models, APIs, self-service analytics, renewal intelligence, retention analytics, coverage gap analysis, and placement insights.

Requirements

• 3+ years of experience in data product ownership, product management, analytics, policy administration analytics, placement analytics, insurance operations analytics, revenue analytics, or related roles; senior roles may require 5+ years.
• Experience managing product roadmaps, prioritized backlogs, user stories, acceptance criteria, release planning, stakeholder communications, and adoption for data, analytics, or BI products.
• Strong understanding of analytical data platforms, SQL concepts, data modeling, data quality, reporting architecture, and the data product lifecycle.
• Experience owning or enabling reporting datasets, analytical data structures, business-facing data products, dashboards, scorecards, or self-service analytics.
• Experience with policy-domain concepts including coverage, effective and expiration dates, renewals, endorsements, cancellations, premium, revenue, commission, fees, carrier and intermediary relationships, lines of business, insured and client identifiers, producer attribution, and policy lifecycle reporting.
• Understanding of data quality, documentation, testing, reconciliation, and requirements validation.
• Ability to clarify stakeholder needs, prioritize work, validate outcomes, explain tradeoffs, investigate data issues, coordinate remediation, and balance immediate needs with long-term scalability.
• Clear communication skills for explaining product direction, metric logic, roadmap priorities, release decisions, data limitations, and analytical findings to technical and non-technical audiences.

Nice to have

• Experience with AMS360, Epic, RiskMatch, BenefitPoint, BAM, Nova, policy administration systems, carrier and intermediary data, policy performance dashboards, placement insights, carrier scorecards, or renewal reporting.
• Bachelor’s degree in data science, computer science, engineering, information systems, analytics, statistics, business, or a related field.
• Experience with Microsoft Fabric, Azure, Databricks, Snowflake, Denodo, SQL-based platforms, data pipelines, data marts, transformation logic, medallion architecture, or data quality checks.
• Familiarity with DevOps, DataOps, version control, automated testing, deployment pipelines, release management, Agile, Scrum, Kanban, OKRs, and product adoption practices.
• Experience in insurance brokerage, policy administration, placement, carrier strategy, revenue operations, financial services, retail, or other enterprise-scale matrixed organizations.

Culture & Benefits

• Meritocratic culture focused on self-starters and doing what is best for customers.
• Remote workplace with a full-time employment arrangement.
• Medical/Rx, dental, vision, life, and disability insurance.
• ESPP, 401(k), student loan assistance, tuition reimbursement, paid time off, holidays, and partner discounts.
• Mental health and enhanced advocacy services; eligibility and waiting periods may apply.