Sales Data Product Owner

Emploi pas sur LinkedIn

🕒 il y a 14 jours

🐊 Florida – Distant

🐊 Florida – Remote

💵 $140 000 - $160 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Pourquoi ce score :

• Ouverte depuis 15 jours.
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Brown & Brown Insurance

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1939

💸 Finance

🛡️ Assurance

Finance • Insurance

Brown & Brown Insurance est l'une des plus grandes courtiers en assurance indépendants au monde, offrant une gamme complète de solutions de gestion des risques. Fondée en 1939, l'entreprise propose des assurances pour les particuliers et les entreprises, des avantages pour les employés ainsi que divers programmes nationaux. Brown & Brown s'engage en faveur de la diversité, de l'inclusion et de l'appartenance, encourageant une culture qui valorise le talent et l'expérience. Avec plus de 500 emplacements, la société est bien positionnée pour répondre aux besoins diversifiés de sa clientèle et est cotée à la Bourse de New York sous le symbole BRO. L'accent stratégique de l'entreprise sur les fusions et acquisitions met en évidence sa stratégie de croissance disciplinée.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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