Senior Product Manager – Semantic Insurance Data

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

📋 Description

• Develop and oversee the product strategy and roadmap for semantic insurance data capabilities.

• Manage a key semantic data product pillar that enables AI, analytics, automation, and product teams to consistently utilize insurance data.

• Simplify intricate insurance business concepts into prioritized product capabilities.

• Collaborate with Engineering and Architecture on semantic models, data contracts, metadata, APIs, knowledge graphs, data products, feature-ready datasets, and AI grounding layers.

• Work alongside AI and data science teams on data structures, lineage, context, quality standards, and retrieval patterns for LLMs, copilots, agentic workflows, analytics, and decision support.

• Partner with Product Managers across Policy, Billing, Claims, Distribution, Data, and Platform teams.

• Create common definitions and relationships for high-value insurance concepts.

• Prioritize use cases such as coverage interpretation, claims summarization, underwriting support, servicing automation, operational analytics, and cross-suite intelligence.

• Define product requirements, user stories, acceptance criteria, business scenarios, and success metrics.

• Collaborate with governance, quality, security, privacy, and compliance stakeholders.

• Promote the adoption, quality, reuse, and business impact of semantic data products.

• Assess product performance, stakeholder feedback, implementation patterns, and data quality indicators to refine roadmap priorities.

⛳️ Requirements

• Bachelor's degree or equivalent experience in Computer Science, Information Systems, Data Management, Business, Insurance, Analytics, or a related field.

• Over 6 years of experience in product management, technical product management, data product management, enterprise software, SaaS, insurance technology, data platforms, or similar roles.

• Proven experience managing complex product domains requiring alignment among business stakeholders, engineering teams, architects, data teams, and customer-facing organizations.

• Skill in translating vague business, regulatory, and technical challenges into product strategy, roadmap priorities, requirements, and measurable outcomes.

• Familiarity with data products, data platforms, semantic layers, canonical data models, APIs, metadata, data governance, analytics, AI/ML products, or enterprise integration patterns.

• Background in property and casualty insurance, general insurance, InsurTech, financial services, or another complex regulated industry.

• In-depth understanding of property and casualty insurance business concepts, workflows, and data relationships.

• Knowledge of semantic modeling, ontology concepts, metadata management, knowledge graphs, canonical models, data catalogs, data contracts, or enterprise information models.

• Awareness of AI, LLMs, retrieval-augmented generation, agentic workflows, analytics, and automation consumption patterns.

• Understanding of SaaS platforms, data architectures, APIs, event-driven systems, cloud platforms, and modern software delivery practices.

• Capacity to convert complex insurance, data, regulatory, and technical requirements into structured product capabilities.

• Ability to evaluate data quality, lineage, completeness, consistency, and suitability for use in AI, analytics, and automation contexts.

• Competence to influence cross-functional teams and create alignment without direct reporting authority.

• Ability to leverage AI and LLM tools to assist in product discovery, research, requirements development, documentation, and stakeholder communication.

• Must have legal authorization to work in the country of the job location.

• Willingness to travel up to 10%.

• A Master’s degree and experience across multiple P&C insurance domains are preferred.

🏝️ Benefits

• Flexible work environment.

• Medical, dental, vision, life, and disability insurance.

• 401(k) retirement plan with a 6% employer match up to $12,000 annually.

• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).

• Paid holidays, vacation, and volunteer time.

• Employee Assistance Program (EAP).

• Annual bonus compensation, subject to plan terms and individual eligibility.

• Option to work from an office, from home, or follow a hybrid schedule.