Senior Product Manager – Semantic Insurance Data

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $153.9k - $219.8k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Duck Creek Technologies

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🛡️ Insurance

☁️ SaaS

🏢 Enterprise

💰 $230M Private Equity Round on 2020-06

Insurance • SaaS • Enterprise

Duck Creek Technologies is a leading provider of comprehensive software solutions for the insurance industry, specifically focusing on property and casualty (P&C) insurance. Their platform offers a suite of core system solutions, including policy, billing, claims, and analytics. With a strong emphasis on low-code configurability, Duck Creek enables insurers to quickly implement changes and launch new products to meet market needs. The company also emphasizes partnerships with leading technology innovators to deliver enhanced customer experiences and streamline operations for insurers around the world.

📋 Description

• Define and own product strategy and roadmap for semantic insurance data capabilities • Own a major semantic data product pillar enabling AI, analytics, automation, and product teams to use insurance data consistently • Translate complex insurance business concepts into prioritized product capabilities • Partner with Engineering and Architecture on semantic models, data contracts, metadata, APIs, knowledge graphs, data products, feature-ready datasets, and AI grounding layers • Work with 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 • Collaborate with Product Managers across 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 • Partner with governance, quality, security, privacy, and compliance stakeholders on responsible AI consumption • Drive adoption, quality, and business impact of semantic data products • Evaluate 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 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 requiring 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 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 • Deep understanding of property and casualty insurance business concepts, workflows, and data relationships • Knowledge of 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 • 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 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: Experience with insurance industry software platforms and SaaS solutions • Preferred: Experience with agile development methodologies and product or project management tools • Preferred: Experience 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