7 дней назад
Senior Product Manager (Semantic Insurance Data)
123 400 - 219 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Semantic Insurance Data): Define and scale AI-ready semantic insurance data products for policy, claims, billing, coverage, customer, and risk information with an accent on semantic models, data quality, governance, and reusable consumption patterns. Focus on building knowledge graphs, APIs, data contracts, and AI grounding layers that support LLMs, analytics, automation, and decision-support experiences.
Location: Remote, Massachusetts, United States. Must be legally authorized to work in the country of the job location. Travel: 10%.
Salary: $123,400–$192,900 for other U.S. locations; up to $153,900–$219,800 for selected metropolitan areas. Annual bonus eligibility may apply.
Company
provides cloud-based SaaS solutions for the property and casualty and general insurance industry.
What you will do
- Define the product strategy and roadmap for semantic insurance data, including canonical concepts, metadata, relationships, and AI-ready consumption patterns.
- Translate complex insurance, regulatory, and technical problems into product capabilities, requirements, user stories, acceptance criteria, and success metrics.
- Partner with Engineering, Architecture, Data, AI, UX, and insurance subject-matter experts on semantic models, APIs, knowledge graphs, data products, and AI grounding layers.
- Define data structures, lineage, context, quality standards, and retrieval patterns for LLMs, copilots, agentic workflows, analytics, and automation.
- Align semantic capabilities across Policy, Billing, Claims, Distribution, Data, and Platform products.
- Drive adoption, reuse, data quality, AI answer quality, and business impact across customer implementations and product use cases.
Requirements
- Bachelor’s degree or equivalent experience in computer science, information systems, data management, business, insurance, analytics, or a related discipline.
- 6+ years of experience in product management, technical product management, data product management, enterprise software, SaaS, insurance technology, data platforms, or related roles.
- Experience owning complex product domains and aligning business stakeholders, engineering, architecture, data, and customer-facing teams.
- Experience with data products, semantic layers, canonical data models, APIs, metadata, governance, analytics, AI/ML products, or enterprise integration patterns.
- Experience in property and casualty insurance, general insurance, InsurTech, financial services, or another complex regulated industry.
- Must be legally authorized to work in the United States.
Nice to have
- Master’s degree or equivalent experience in a relevant discipline.
- Experience across underwriting, policy, claims, billing, distribution, reinsurance, or customer servicing.
- Experience with insurance software platforms, SaaS solutions, agile methodologies, semantic modeling, data governance, or enterprise information models.
Culture & Benefits
- Flexible-first work environment with office, home, and hybrid options.
- Medical, dental, vision, life, and disability insurance.
- 401(k) retirement plan with a 6% employer match up to $12,000 annually.
- Flexible Spending Accounts, Health Savings Accounts, paid holidays, vacation, and volunteer time.
- Inclusive, collaborative, and team-oriented workplace with an emphasis on responsible AI use.
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