Policy Data Product Owner

Emploi pas sur LinkedIn

🕒 il y a 13 jours

🐊 Florida – Distant

🐊 Florida – Remote

💵 $140 000 - $160 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 0%

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• Ouverte depuis 14 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 Policy data product vision, strategy, roadmap, outcomes, release priorities, and value measures • Own the prioritized backlog for Policy-domain datasets and insight products across policy administration and related platforms • Translate business problems and stakeholder needs into product features, user stories, acceptance criteria, metric definitions, release plans, and enablement materials • Define and steward Policy-domain metrics and analytical capabilities for policies, premiums, revenue, commissions, renewals, retention, carriers, intermediaries, and portfolio movement • Partner with engineering teams to define source requirements, transformation rules, data quality expectations, business definitions, service levels, reconciliation methods, and dependencies • Prioritize enhancement requests, defects, technical debt, data quality issues, adoption needs, source-system gaps, and escalations • Lead data validation and product acceptance, including policy reconciliation, premium and revenue tie-outs, lifecycle logic review, mapping validation, stakeholder signoff, defect triage, and root-cause investigation • Coordinate resolution of Policy-domain data quality issues and reporting discrepancies • Create and maintain product documentation, including requirements, user stories, metric definitions, lineage summaries, decision logs, release notes, limitations, adoption materials, and signoff records • Partner with BI, analytics, engineering, placement, finance, operations, governance, and business teams to align dashboards, reports, APIs, semantic models, and consumption experiences • Own adoption and continuous improvement for policy and placement enablement products such as Policy Performance dashboards, Placement Insights dashboards, Carrier Scorecards, Digital Bluebook views, renewal intelligence, and retention analytics • Lead release readiness, launch communications, stakeholder enablement, adoption tracking, feedback loops, and post-release improvement planning • Ensure Policy-domain data products comply with standards for quality, security, traceability, privacy, access control, governance, retention, documentation, and responsible use • Communicate product status, roadmap progress, risks, adoption results, metric changes, limitations, release impacts, and value realization to stakeholders and leadership

🎯 Exigences

• 3+ years of experience in data product ownership, product management, analytics product management, data analytics, policy administration analytics, placement analytics, insurance operations 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 Policy-domain concepts including policy detail, policy transactions, coverage, effective and expiration dates, renewals, endorsements, cancellations, written and billed premium, revenue, commission, fees, carrier hierarchy, intermediary relationships, line of business, product hierarchy, insured and client identifiers, producer attribution, office and profit center mapping, and policy lifecycle 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 • Clear communication skills for technical and non-technical audiences • Bachelor’s degree in data science, computer science, engineering, information systems, analytics, statistics, business, or related field preferred • Experience with AMS360, Epic, RiskMatch, BenefitPoint, BAM, Nova, or related insurance data products strongly preferred • Experience with Microsoft Fabric, Azure, Databricks, Snowflake, Denodo, SQL-based platforms, or similar technologies preferred • Experience with data pipelines, data marts, transformation logic, medallion architecture patterns, data quality checks, or reporting-ready data structures preferred • Familiarity with DevOps, DataOps, version control, automated testing, deployment pipelines, release management, Agile, Scrum, Kanban, product discovery, OKRs, and stakeholder governance preferred • Experience in insurance brokerage, policy administration, placement, carrier strategy, revenue operations, financial services, retail, or enterprise-scale matrixed organizations preferred

🏖️ Avantages

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

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