Senior Product Manager – Semantic Insurance Data

• 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.
• Travel: 10%
• Work Authorization: Must be legally authorized to work in the country of the job location

WHAT WE STAND FOR:

Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.

We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead.

To learn more about our inclusive company culture, values, DE&I initiatives, and people, please visit: .

Please let us know if you encounter accessibility barriers with our web content by sending an email to .

Privacy Notice: By submitting your application, you acknowledge that Duck Creek Technologies may collect and process your personal data for recruitment purposes in accordance with our Privacy Notice and applicable data protection laws.

Duck Creek Technologies does not accept, nor will we pay a fee for any hires resulting from unsolicited headhunter or agency resumes.

Actual compensation for this role is determined based on a variety of factors, including job-related skills, experience, qualifications, internal equity, and geographic location, where permitted by law.

For reference, the expected salary range for this position is generally positioned as follows based on candidate location:

• 153,900 – 219,800: Candidates living in the Boston, New York City–Newark, Los Angeles, San Francisco/Bay Area, Seattle, or Washington, DC metropolitan areas
• 146,700 – 209,500: Candidates living in Chicago, Dallas–Fort Worth, Houston, Minneapolis, or Philadelphia metropolitan areas, or in Colorado, Connecticut, Maryland, Rhode Island, or Vermont
• 139,400 – 199,100: Candidates living in Georgia, Michigan, North Carolina, New Hampshire, Oregon, or Wisconsin
• 123,400 – 192,900: For all other U.S. locations

This position is also eligible for annual bonus compensation, subject to plan terms and individual eligibility.

Final compensation will be determined based on the factors outlined above and in accordance with applicable law.

Duck Creek Technologies believes in the safe, ethical, and responsible use of artificial intelligence. We may use AI-assisted tools to support parts of the recruitment process, such as reviewing applications, identifying relevant skills, and organizing candidate information.

AI tools are used to assist—not replace—human judgment. All AI-assisted outputs are reviewed by a Duck Creek team member, and final hiring decisions are always made by people. Candidates should be comfortable working in environments where AI is used responsibly to enhance business processes.

Duck Creek Technologies offers a comprehensive benefits package, which includes:

• 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)

Benefits eligibility and offerings may vary based on role and location.

The application window for this position will remain open until the role is filled or a sufficient number of qualified candidates have been identified.

Originally posted on Himalayas

• 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.