Назад
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2 дня назад

Sales Data Product Owner

140 000 - 160 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sales Data Product Owner (Sales Analytics/CRM): Defining and managing trusted Sales-domain data products, roadmaps, backlogs, dashboards, and analytical capabilities across CRM, pipeline, revenue, producer performance, cross-sell, account-rounding, and forecasting with an accent on data quality, metric standardization, and stakeholder adoption. Focus on translating sales requirements into scalable data products, coordinating validation and remediation, and enabling reliable executive reporting, operational insights, and self-service analytics.

Location: Remote within the United States; role associated with Daytona Beach, FL, USA.

Salary: $140,000–$160,000 annual.

Company

Brown & Brown is an insurance brokerage and financial services organization focused on customer and sales operations.

What you will do

  • Define and maintain the Sales data product vision, strategy, roadmap, backlog, release priorities, and value measures.
  • Own datasets and insight products integrating CRM activity, opportunities, producer hierarchy, book-of-business attributes, sales goals, revenue results, and reference data.
  • Translate stakeholder needs into product features, user stories, acceptance criteria, metric definitions, release plans, and enablement materials.
  • Coordinate data validation, reconciliation, stakeholder signoff, defect triage, root-cause investigation, and release readiness.
  • Partner with engineering, BI, analytics, governance, Sales Operations, sales leadership, producers, and account teams to deliver trusted analytical products.
  • Drive adoption, launch communications, feedback loops, documentation, and continuous improvement for dashboards, scorecards, reporting views, and future CRM-embedded recommendations.

Requirements

  • 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 roadmaps, prioritized backlogs, 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; the role owns product outcomes rather than day-to-day engineering execution.
  • Experience owning or enabling reporting datasets, analytical data structures, business-facing data products, dashboards, scorecards, or self-service analytics.
  • Experience with Sales-domain concepts including 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 clarify stakeholder needs, prioritize work, validate outcomes, explain tradeoffs, investigate data issues, coordinate remediation, and balance short-term 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 Salesforce, Microsoft Dynamics, CRM data models, sales dashboards, producer scorecards, CRM adoption metrics, or related sales enablement 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, 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, release management, Agile, Scrum, Kanban, product discovery, 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.

Culture & Benefits

  • Remote full-time position associated with Daytona Beach, Florida, United States.
  • Health benefits include medical/Rx, dental, vision, life insurance, and disability insurance.
  • Financial benefits include ESPP, 401(k), student loan assistance, and tuition reimbursement.
  • Mental health and wellness support includes free mental health and enhanced advocacy services.
  • Paid time off, holidays, preferred partner discounts, and other benefits are available; eligibility and waiting periods may vary.
  • Equal opportunity environment guided by the “The Power to Be Yourself” diversity, inclusion, and belonging motto.

Hiring process

  • External recruiters, recruitment vendors, and employment agencies may submit candidates only with a valid written agreement and prior authorization from Brown & Brown.

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