Data Product Manager

Berkshire Hathaway GUARD Insurance Companies

Data Product Manager shaping trusted data products for Berkshire Hathaway GUARD, a nationwide Property & Casualty insurer. Partnering with underwriting, actuarial, and operations leaders to drive analytics, decision-making, and AI readiness.

Posted 8/11/2026full-timeArizona, California, Illinois, New Jersey, New York, Pennsylvania, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $88,231 - $217,946 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management and data analytics within the insurance industry, focusing on driving business outcomes through effective collaboration, stakeholder engagement, and data governance. Proficient in defining product vision, success measures, and adoption strategies while leading cross-functional teams to deliver impactful data solutions.

Highest-signal resume keywords

Product ManagementData AnalyticsCross-Functional Team LeadershipBusiness AnalysisData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SolutionsProduct Roadmap DefinitionBusiness Problem IdentificationSuccess Measure DefinitionData QualitySemantic ModelsAnalytics PlatformsAdoption PlansPrioritization CriteriaAI-Ready Data Initiatives

Soft Skills

Excellent CommunicationProblem SolvingAdaptabilityStakeholder AlignmentInfluencing Without Authority

Tools & Technologies

Data MeshAgile Delivery MethodsData Governance ToolsAnalytics Platforms

Industry Keywords

UnderwritingActuarial ProcessesInsurance IndustryPortfolio ManagementProperty & CasualtyOperational Outcomes

About the role

Key responsibilities & impact

Partner with underwriting, actuarial, and operational business leaders to identify high-value problems, decision needs, and opportunities for measurable business impact
Define problem statements, target users, value propositions, success measures, adoption expectations, and prioritization rationale
Manage product vision, roadmap, and priorities for domain data products
Lead discovery through stakeholder interviews, workshops, process analysis, user research, and validation of business needs
Collaborate with architects, engineers, analysts, and governance partners to define business concepts, semantic models, quality expectations, lineage, access controls, and reusable consumption patterns
Lead cross-functional data product teams by setting direction, clarifying priorities, aligning stakeholders, and focusing work on business outcomes
Drive adoption through product-value communication, rollout support, feedback gathering, usage measurement, and outcome evaluation
Ensure data products support reporting, analytics, operations, and AI use cases through trusted definitions, usability, quality, and governance

Requirements

What you’ll need

3+ years of experience in product management, data and analytics, business analysis, consulting, strategy, or a related field within the insurance industry
Knowledge of underwriting, actuarial, rate/product, portfolio, or underwriting operations processes
Experience identifying business problems, shaping opportunities, and delivering insurance data solutions
Strong business acumen connecting data capabilities to underwriting, actuarial, product, pricing, portfolio, or operational outcomes
Experience leading cross-functional teams 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
Ability to define product goals, success measures, roadmaps, adoption plans, and prioritization criteria
Ability to adapt, solve problems, and make progress in a changing environment
Excellent spoken and written communication
Preferred: experience with data products, data mesh, semantic models, data governance, analytics platforms, or AI-ready data initiatives
Preferred: technical fluency in data quality, lineage, access controls, business definitions, metrics, and consumption patterns
Preferred: direct Property & Casualty experience in underwriting, actuarial, product, pricing, or portfolio management
Preferred: experience supporting underwriting operations such as home office underwriting, service underwriting, premium audit, or loss control
Preferred: familiarity with agile or iterative delivery methods
Must be authorized to work in the U.S. without current or future sponsorship

Benefits

Comp & perks

Hybrid schedule: 2 days remote / 3 in-office
Predictable hours (no nights, weekends, or holidays)
Competitive pay
Generous PTO
Medical, dental & vision starting day one
401(k)
Tuition reimbursement
Longevity bonuses
Bonus eligibility