Senior Product Manager – Semantic Insurance Data

Duck Creek Technologies • Bay Area, CA

2d • $153,900 - $219,800 • Hybrid

About The Position

The Senior Product Manager – Semantic Insurance Data owns a major product pillar focused on AI-ready insurance data capabilities that make Duck Creek’s policy, claims, billing, coverage, customer, and risk data easier to understand, govern, and consume. The role defines product strategy, roadmap priorities, business meaning, semantic relationships, data quality expectations, and consumption patterns that support AI, analytics, automation, and product teams. It applies deep property and casualty insurance domain knowledge, technical product management discipline, and data product expertise to translate complex insurance concepts into scalable product capabilities.

The role exercises independent judgment to prioritize outcomes, align stakeholders, and guide delivery in partnership with Product, Engineering, Architecture, Data, AI, UX, Customer Success, Professional Services, and insurance subject-matter experts. It is based in Boston, MA or the Bay Area, CA, with required in-office attendance two to three times per week and 10% travel.

Requirements

• Bachelor’s degree, or equivalent experience, in Computer Science, Information Systems, Data Management, Business, Insurance, Analytics, or a related discipline.
• At least 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 that require alignment across business stakeholders, engineering teams, architects, data teams, and customer-facing organizations.
• Experience translating ambiguous business, regulatory, and technical problems into product strategy, roadmap priorities, requirements, and measurable outcomes.
• Experience working with data products, data platforms, semantic layers, canonical data models, APIs, metadata, data 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.
• Advanced knowledge of technical product management practices, including roadmap definition, prioritization, requirements development, and success measurement.
• Deep understanding of property and casualty insurance business concepts, workflows, and data relationships.
• Knowledge of insurance concepts such as 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.
• Ability to define business meaning, data relationships, consumption patterns, and quality expectations for reusable data products.
• Ability to assess 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.
• Ability to influence cross-functional teams and build alignment without direct reporting authority.
• Ability to communicate complex data and AI concepts to business, technical, and executive stakeholders.
• Ability to use AI and LLM tools to support 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.

Nice To Haves

• Master’s degree, or equivalent experience, in Computer Science, Information Systems, Data Management, Business, Insurance, Analytics, or a related discipline.
• Experience across multiple property and casualty insurance domains such as underwriting, policy, claims, billing, distribution, reinsurance, or customer servicing.
• Experience with insurance industry software platforms and software-as-a-service solutions.
• Experience with agile development methodologies and product or project management tools.
• Experience with data governance frameworks, semantic modeling practices, or enterprise information models.

Responsibilities

• Define and own product strategy and roadmap for semantic insurance data capabilities, including canonical insurance concepts, data relationships, metadata, business definitions, and AI-ready consumption patterns.
• Own a major semantic data product pillar that enables AI, analytics, automation, and product teams to understand and use insurance data consistently across Duck Creek products and customer implementations.
• Translate complex insurance business concepts into clear, prioritized product capabilities that engineering teams can deliver and technical and non-technical users can consume.
• Partner with Engineering and Architecture to define scalable approaches for semantic models, data contracts, metadata, APIs, knowledge graphs, data products, feature-ready datasets, and AI grounding layers.
• Work with AI and data science teams to identify the data structures, lineage, context, quality standards, and retrieval patterns needed for LLMs, copilots, agentic workflows, analytics, and decision-support experiences.
• Collaborate with Product Managers across Policy, Billing, Claims, Distribution, Data, and Platform teams to align semantic data capabilities with product strategy, customer needs, and delivery priorities.
• Establish common definitions and relationships for high-value insurance concepts to reduce ambiguity across products, reporting, AI experiences, and customer integrations.
• Prioritize use cases where semantic insurance data can improve customer outcomes, including 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 for semantic data capabilities.
• Partner with data governance, quality, security, privacy, and compliance stakeholders to ensure semantic data products are designed for responsible and appropriate AI consumption.
• Drive adoption, quality, and business impact of semantic data products, including reuse across AI use cases, reduced duplicate mapping work, improved AI answer quality, and more consistent insurance definitions.
• Evaluate product performance, stakeholder feedback, implementation patterns, and data quality indicators to refine roadmap priorities and improve product outcomes.

Benefits

• Flexible work environment
• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan with employer 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior