Sales Data Product Owner

Brown & Brown Insurance

. Define and maintain the Sales data product vision, strategy, roadmap, outcomes, release priorities, and value measures .

Posted 10/28/2026full-timeRemote • Florida • United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data product ownership and management, with a strong focus on analytical capabilities, stakeholder engagement, and sales-domain metrics. Proficient in utilizing data analytics tools and methodologies to drive product adoption and deliver measurable business value.

Highest-signal resume keywords

Data Product OwnershipAnalytical Data PlatformsSales-Domain ConceptsSQL-Based PlatformsStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsProduct Roadmap ManagementUser Story DevelopmentData Quality AssuranceReporting ArchitectureData ModelingAcceptance Criteria DefinitionMetric DefinitionRelease PlanningData Pipeline Management

Soft Skills

Problem-SolvingDecision-MakingClear CommunicationStakeholder EngagementPrioritization

Tools & Technologies

SalesforceMicrosoft DynamicsMicrosoft FabricAzureDatabricksSnowflakeDenodoAgileScrumKanban

Industry Keywords

Sales OperationsRevenue OperationsFinancial ServicesInsurance BrokerageEnterprise-Scale Organizations

Tech Stack

Tools & technologies

AzureSnowflakeSQL

About the role

Key responsibilities & impact

Define and maintain the Sales data product vision, strategy, roadmap, outcomes, release priorities, and value measures
Own the prioritized backlog for Sales-domain datasets and insight products integrating CRM activity, opportunities, producer hierarchy, book-of-business attributes, sales goals, revenue results, and reference data
Translate business problems, stakeholder needs, and reporting requirements into product features, user stories, acceptance criteria, metric definitions, release plans, and enablement materials
Define and steward Sales-domain metrics and analytical capabilities for revenue, pipeline, appointments, hit ratio, producer performance, sales attainment, CRM adoption, and dashboarding
Partner with engineering teams to define source requirements, transformation rules, data quality expectations, service levels, and delivery dependencies
Prioritize enhancement requests, defects, technical debt, adoption needs, and stakeholder escalations
Lead data validation and product acceptance, including reconciliation, metric review, stakeholder signoff, defect triage, root-cause investigation, and release readiness
Coordinate resolution of Sales-domain data quality issues and reporting discrepancies
Create and maintain product documentation, including requirements, user stories, metric definitions, data lineage, decision logs, release notes, limitations, adoption materials, and signoff records
Partner with BI, analytics, engineering, and business teams to align dashboards, reports, analytical views, and consumption experiences
Own adoption and continuous improvement for sales enablement products such as Sales Insights dashboards, producer scorecards, Get Sales Done reporting, Pedal to the Metal reporting, Digital Bluebook sales views, and future sales-agent recommendations
Lead release readiness, launch communications, stakeholder enablement, adoption tracking, and post-release feedback loops
Ensure Sales-domain products comply with standards for quality, security, traceability, privacy, access control, governance, documentation, and responsible use
Communicate product status, roadmap progress, delivery risks, adoption results, metric changes, data limitations, and value realization to stakeholders and leadership
Deliver trusted, adopted, documented sales datasets, dashboards, scorecards, and analytical capabilities that improve sales decisions and reduce manual reporting

Requirements

What you’ll need

3+ years of experience in data product ownership, product management, analytics product management, data analytics, sales operations analytics, CRM analytics, revenue analytics, or related roles; senior roles may require 5+ years
Experience managing a product roadmap, prioritized backlog, user stories, acceptance criteria, release planning, stakeholder communications, and adoption activities for data, analytics, or business intelligence 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 capabilities
Experience working with Sales-domain concepts such as opportunities, pipeline stages, closed-won revenue, producer performance, sales goals, first appointments, hit ratio, cross-sell, account rounding, CRM activity, book-of-business segmentation, and sales leader reporting
Understanding of data quality, documentation, testing, reconciliation, and requirements validation practices
Ability to work with business stakeholders to clarify needs, make prioritization decisions, validate outcomes, explain tradeoffs, drive adoption, and ensure analytical products deliver measurable business value
Strong problem-solving and decision-making skills with the ability to investigate data issues, assess business impact, coordinate remediation, and balance short-term stakeholder needs with long-term product scalability
Clear communication skills with the ability to explain product direction, metric logic, roadmap priorities, release decisions, data limitations, and analytical findings to both technical and non-technical audiences
Bachelor’s degree in data science, computer science, engineering, information systems, analytics, statistics, business, or a related field is preferred
Experience with Salesforce, Microsoft Dynamics, CRM data models, sales dashboards, producer scorecards, CRM adoption metrics, or related sales enablement reporting is strongly preferred
Experience with Microsoft Fabric, Azure, Databricks, Snowflake, Denodo, SQL-based platforms, or similar data engineering and analytics technologies
Experience with data pipelines, data marts, transformation logic, medallion architecture patterns, data quality checks, or reporting-ready data structures
Familiarity with DevOps, DataOps, version control, automated testing, deployment pipelines, and release management for data assets
Familiarity with Agile, Scrum, Kanban, product discovery, delivery management, OKRs, value measurement, stakeholder governance, and product adoption practices
Experience in insurance brokerage, sales operations, revenue operations, financial services, retail, or other enterprise-scale matrixed organizations
Familiarity with sales incentive programs, cross-sell and account-rounding analytics, producer business planning, opportunity management, CRM data quality, and adoption support for sales-facing analytical tools
Ability to perform required physical duties, including sedentary computer work, keyboard/mouse use, phone and in-person communication, and occasional lifting, standing, stooping, reaching, and climbing

Benefits

Comp & perks

Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
Paid Time Off
Holidays
Preferred Partner Discounts
Reasonable accommodations for qualified individuals with disabilities