Policy Data Product Owner

This is a fully remote position, open to applicants in Florida.

📋 Description

• Establish and uphold the vision, strategy, roadmap, outcomes, release priorities, and value metrics for the Policy data product.

• Manage the prioritized backlog for datasets and insight products within the Policy domain across policy administration and associated platforms.

• Convert business challenges and stakeholder requirements into product features, user stories, acceptance criteria, metric definitions, release plans, and enablement documentation.

• Define and oversee metrics and analytical capabilities within the Policy domain related to policies, premiums, revenue, commissions, renewals, retention, carriers, intermediaries, and portfolio movement.

• Collaborate with engineering teams to specify source requirements, transformation rules, data quality expectations, business definitions, service levels, reconciliation methods, and dependencies.

• Prioritize enhancement requests, defects, technical debt, data quality concerns, adoption requirements, source-system gaps, and escalations.

• Lead data validation and product acceptance processes, which include policy reconciliation, premium and revenue tie-outs, lifecycle logic review, mapping validation, stakeholder signoff, defect triage, and root-cause analysis.

• Facilitate the resolution of data quality issues and reporting discrepancies within the Policy domain.

• Develop and maintain comprehensive product documentation, including requirements, user stories, metric definitions, lineage summaries, decision logs, release notes, limitations, adoption materials, and signoff records.

• Collaborate with BI, analytics, engineering, placement, finance, operations, governance, and business teams to align dashboards, reports, APIs, semantic models, and user experiences.

• Take ownership of 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.

• Oversee release readiness, launch communications, stakeholder enablement, adoption tracking, feedback loops, and post-release improvement planning.

• Ensure that Policy-domain data products adhere to standards for quality, security, traceability, privacy, access control, governance, retention, documentation, and responsible use.

• Provide updates on product status, roadmap progress, risks, adoption outcomes, metric changes, limitations, release impacts, and value realization to stakeholders and leadership.

⛳️ Requirements

• A minimum of 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 similar roles; senior positions may require 5 or more years.

• Proven experience in managing a product roadmap, prioritized backlog, user stories, acceptance criteria, release planning, stakeholder communications, and adoption initiatives 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 in owning or enabling reporting datasets, analytical data structures, business-facing data products, dashboards, scorecards, or self-service analytics functionalities.

• Familiarity with Policy-domain concepts such as policy details, transactions, coverage, effective and expiration dates, renewals, endorsements, cancellations, written and billed premium, revenue, commissions, 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.

• Knowledge of data quality, documentation, testing, reconciliation, and requirements validation practices.

• Capability to engage with business stakeholders to clarify needs, make prioritization decisions, validate outcomes, explain trade-offs, drive adoption, and ensure that analytical products yield measurable business value.

• Excellent problem-solving and decision-making abilities.

• Effective communication skills for 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 AMS360, Epic, RiskMatch, BenefitPoint, BAM, Nova, or similar insurance data products is strongly preferred.

• Familiarity with Microsoft Fabric, Azure, Databricks, Snowflake, Denodo, SQL-based platforms, or comparable technologies is preferred.

• Experience with data pipelines, data marts, transformation logic, medallion architecture patterns, data quality checks, or reporting-ready data structures is preferred.

• Understanding of DevOps, DataOps, version control, automated testing, deployment pipelines, release management, Agile, Scrum, Kanban, product discovery, OKRs, and stakeholder governance is preferred.

• Experience in insurance brokerage, policy administration, placement, carrier strategy, revenue operations, financial services, retail, or large-scale matrixed organizations is preferred.

🏝️ Benefits

• Medical/Rx insurance

• Dental insurance

• Vision insurance

• Life insurance

• Disability insurance

• Employee Stock Purchase Plan (ESPP)

• 401k plan

• Student Loan Assistance

• Tuition Reimbursement

• Complimentary Mental Health & Enhanced Advocacy Services

• Paid Time Off

• Holidays

• Discounts from Preferred Partners

• Reasonable accommodations for qualified individuals with disabilities