Data Product Manager
$88,231–$217,946 year
HybridConshohocken, Pennsylvania, United States or Scottsdale, Arizona, United States
Job Summary
Partner with underwriting, actuarial, and operational leaders to identify high-value problems and shape product opportunities for trusted, reusable data products. Define the vision, roadmap, and priorities for domain data products while leading cross-functional teams through discovery, stakeholder alignment, and adoption strategies. Work with architects and governance partners to establish shared business concepts, semantic models, and quality expectations that support reporting, analytics, and AI use cases. Balance value, feasibility, and risk to deliver solutions that improve underwriting decisions and operational execution.
Required Qualifications
- 3+ years of experience in product management, data and analytics, business analysis, consulting, strategy, or a related field within the insurance industry.
- Demonstrated knowledge of underwriting, actuarial, rate/product, portfolio, or underwriting operations processes.
- Experience identifying business problems, shaping opportunities, and delivering insurance data solutions that support underwriting decisions, pricing analysis, portfolio insight, or operational execution.
- Strong business acumen and ability to connect data capabilities to underwriting, actuarial, product, pricing, portfolio, or operational outcomes.
- Experience leading cross-functional teams through ambiguity, aligning stakeholders, and influencing without direct authority.
- Experience facilitating workshops, interviews, discovery sessions, prioritization discussions, and product planning conversations.
- Ability to translate between business needs and data or technical concepts to support shared understanding and sound decisions.
- Ability to define product goals, success measures, roadmaps, adoption plans, and prioritization criteria.
- Proven ability to adapt, solve problems, and make progress in a changing environment.
- Excellent spoken and written communication.
- Applicants must be authorized to work in the U.S. without current or future sponsorship.
Desired Qualifications
- Experience with data products, data mesh, semantic models, data governance, analytics platforms, or AI-ready data initiatives.
- Technical fluency in data and analytics concepts, including data quality, lineage, access controls, business definitions, metrics, and consumption patterns.
- Direct Property & Casualty experience in underwriting, actuarial, product, pricing, or portfolio management, with the ability to apply that knowledge to data product strategy and decision support.
- Direct experience supporting underwriting operations such as home office underwriting, service underwriting, premium audit, loss control, or related operational underwriting functions.
- Familiarity with agile or iterative delivery methods; the role is primarily focused on product strategy, discovery, stakeholder alignment, adoption, and value realization.
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