Senior Product Manager – Semantic Insurance Data

Duck Creek Technologies

. Define and own product strategy and roadmap for semantic insurance data capabilities .

Posted 9/24/2026full-timeRemote • Massachusetts • United StatesSenior💰 $153,900 - $219,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for semantic insurance data capabilities, with a strong focus on translating complex insurance concepts into actionable product strategies and requirements. Proficient in collaborating with cross-functional teams to drive the adoption and quality of data products while ensuring compliance with industry standards.

Highest-signal resume keywords

Product ManagementSemantic Data ProductsData GovernanceInsurance TechnologyAI/ML Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ProductsAPIsMetadata ManagementSemantic ModelingData Quality AssessmentCanonical Data ModelsAnalyticsAI/ML ProductsEnterprise Integration PatternsData Platforms

Soft Skills

Cross-Functional CollaborationStakeholder CommunicationInfluencing Without AuthorityPrioritizationProblem Solving

Tools & Technologies

SaaS PlatformsCloud PlatformsAgile Development MethodologiesProduct Management ToolsEvent-Driven Systems

Industry Keywords

Property and Casualty InsuranceInsurTechFinancial ServicesRegulated IndustryInsurance Concepts

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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