Senior Product Manager – Semantic Insurance Data

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

📋 Description

• Define and take ownership of the product strategy and roadmap for semantic insurance data capabilities.

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

• Convert 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 experiences.

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

• Establish 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 on responsible AI utilization.

• Promote the adoption, quality, 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 related roles.

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

• Experience in transforming ambiguous 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.

• Advanced understanding of technical product management practices.

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

• Familiarity with insurance concepts including policy, claim, coverage, insured, exposure, premium, deductible, limit, endorsement, exclusion, loss event, payment, reserve, and party relationships.

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

• Knowledge 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.

• Ability to translate complex insurance, data, regulatory, and technical requirements into structured product capabilities.

• Capability to define business meaning, data relationships, consumption patterns, and quality expectations for reusable data products.

• Proficiency in assessing data quality, lineage, completeness, consistency, and fitness for use in AI, analytics, and automation contexts.

• Ability to prioritize competing stakeholder needs and make product trade-offs in ambiguous environments.

• Skill in influencing cross-functional teams and fostering alignment without direct reporting authority.

• Ability to communicate complex data and AI concepts to business, technical, and executive stakeholders.

• Proficient in using AI and LLM tools for product discovery, research, requirements development, documentation, and stakeholder communication.

• Ability to evaluate adoption, reuse, quality, and business impact measures for semantic data products.

• Must be legally authorized to work in the country of the job location.

• Willingness to travel 10%.

• Preferred: Master’s degree or equivalent experience.

• Preferred: Experience across multiple property and casualty insurance domains.

• Preferred: Familiarity with insurance industry software platforms and SaaS solutions.

• Preferred: Experience with agile development methodologies and product or project management tools.

• Preferred: Familiarity with data governance frameworks, semantic modeling practices, or enterprise information models.

🏝️ Benefits

• Flexible work environment.

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

• 401(k) retirement plan with match (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.

• Choice to work from an office, from home, or on a hybrid schedule.

• Inclusive culture and opportunities to learn from one another.

• AI-assisted tools used responsibly in the recruitment process.