Policy Data Product Owner at Brown & Brown in Daytona Beach, FL
- Company: Brown & Brown
- Location: Daytona Beach, FL, USA
- Salary: $140K – $160K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-29
All open roles at Brown & Brown
Job description
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Brown & Brown is seeking a Policy Data Product Owner to join our growing team in Daytona Beach, FL ! The Policy Data Product Owner is responsible for defining, prioritizing, and enabling trusted enterprise policy, coverage, placement, premium, carrier, intermediary, renewal, and servicing data products within the gold layer of the medallion architecture. This role translates stakeholder needs across placement, account management, producer, finance, operations, carrier strategy, renewal management, and client analytics into a clear product vision, roadmap, prioritized backlog, acceptance criteria, quality standards, and adoption plan that support policy lifecycle intelligence, placement insights, retention analytics, carrier optimization, portfolio management, and self-service analytics. The role partners closely with placement leadership, policy administration stakeholders, producers, account executives, account managers, carrier strategy teams, finance, operations, platform engineering teams, BI development teams, data governance, and downstream consumers to ensure Policy-domain data products are valuable, usable, accurate, well-documented, secure, scalable, and aligned to enterprise data standards. The role requires product ownership discipline, insurance policy-domain fluency, stakeholder management, prioritization skills, and the ability to connect policy lifecycle activity, coverage detail, carrier and intermediary relationships, premium and revenue measures, renewal behavior, placement outcomes, and servicing processes to measurable business value. Primary Roles Required for the Team: Policy Data Product Owner: Owns the strategy, roadmap, backlog, stakeholder alignment, adoption, and value realization for Policy-domain data products, including policy detail, policy transactions, coverage, premium, revenue, carrier, intermediary, placement, renewal, retention, insured, producer, office, line-of-business, and reference-data capabilities. Essential Duties and Responsibilities: Define and maintain the Policy data product vision, strategy, roadmap, outcomes, release priorities, and value measures in partnership with placement leadership, policy administration stakeholders, carrier strategy, finance, operations, data engineering, BI, governance, and business stakeholders. Own the prioritized backlog for Policy-domain datasets and insight products that integrate policy administration, policy transaction, coverage, premium, revenue, insured, producer, office, carrier, intermediary, line-of-business, and reference data across platforms such as AMS360, Epic, RiskMatch, BenefitPoint, BAM, Nova, and future policy administration sources. Translate business problems, stakeholder needs, and reporting requirements into product features, user stories, acceptance criteria, standard metric definitions, release plans, and enablement materials that support executive reporting, operational insights, and stakeholder decision-making. Define and steward Policy-domain metrics and analytical capabilities for active policy counts, written premium, billed premium, revenue, commission, fees, effective commission rate, policy term, effective and expiration dates, new business, renewal, endorsement, cancellation, lost business, retained business, carrier concentration, preferred carrier utilization, intermediary usage, direct versus intermediated placement, and portfolio movement. Partner with upstream bronze and silver layer engineering teams to define source requirements, transformation rules, data quality expectations, business definitions, service-level needs, reconciliation methods, and delivery dependencies required to support the Policy data product roadmap. Prioritize enhancement requests, defects, technical debt, data quality issues, adoption needs, source-system gaps, and stakeholder escalations based on
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