Sales Data Product Owner at Brown & Brown in Daytona Beach, FL

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 Sales Data Product Owner to join our growing team in Daytona Beach, FL ! Purpose: The Sales Data Product Owner is responsible for defining, prioritizing, and enabling trusted enterprise data and insight products within the gold layer of the medallion architecture, with a strong focus on the Sales domain. This role translates sales leadership, producer, CRM, pipeline, revenue, cross-sell, account-rounding, and forecasting needs into a clear product vision, roadmap, prioritized backlog, acceptance criteria, and adoption plan that support executive reporting, operational sales insights, producer performance management, and self-service analytics. The role partners closely with sales leadership, Sales Operations, producers, account teams, platform engineering teams, BI development teams, data governance, and downstream consumers to ensure Sales-domain data products are valuable, usable, accurate, well-documented, scalable, and aligned to enterprise data standards. The role requires product ownership discipline, domain fluency, stakeholder management, prioritization skills, and the ability to connect sales activity, opportunity progression, producer hierarchy, book-of-business segmentation, CRM adoption, and revenue outcomes to measurable business value. Primary Roles Required for the Team: Sales Data Product Owner: Owns the strategy, roadmap, backlog, stakeholder alignment, adoption, and value realization for Sales-domain data products, including CRM, pipeline, opportunity, producer performance, revenue, sales goals, cross-sell, account-rounding, and forecasting capabilities. Essential Duties and Responsibilities: Define and maintain the Sales data product vision, strategy, roadmap, outcomes, release priorities, and value measures in partnership with sales leadership, Sales Operations, data engineering, BI, governance, and business stakeholders. Own the prioritized backlog for Sales-domain datasets and insight products that integrate CRM activity, opportunities, producer hierarchy, book-of-business attributes, sales goals, revenue results, and reference data across platforms such as Salesforce and Microsoft Dynamics. 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 Sales-domain metrics and analytical capabilities for closed-won revenue, open pipeline, first appointments, hit ratio, pipeline per producer, producer scorecards, sales attainment, CRM adoption, and sales leader dashboarding. Partner with upstream bronze and silver layer engineering teams to define source requirements, transformation rules, data quality expectations, service-level needs, and delivery dependencies required to support the Sales data product roadmap. Prioritize enhancement requests, defects, technical debt, adoption needs, and stakeholder escalations based on business value, risk, feasibility, urgency, and alignment to Sales-domain outcomes. Lead data validation and product acceptance by coordinating reconciliation, metric review, stakeholder signoff, defect triage, root cause investigation, and readiness decisions before release. Coordinate resolution of Sales-domain data quality issues, including inconsistent producer mappings, CRM source alignment, missing opportunity records, stale reference data, manual spreadsheet dependencies, and reporting discrepancies surfaced through sales dashboards or business feedback. Create and maintain product documentation, including business requirements, user stories, metric definitions, data lineage summaries, decision logs, release notes, known limitations, adoption materials, and stakeholder signo