Senior Manager, Product Management – Data Orchestration

• Master’s degree or equivalent advanced experience in a relevant discipline.
• Experience in P&C insurance, general insurance, InsurTech, financial services, or another complex regulated industry.
• Experience with platform, data, analytics, AI enablement, or integration products in a multi-product SaaS environment.
• 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

• Knowledge of data orchestration concepts, including ingestion, transformation, routing, scheduling, synchronization, event publishing, monitoring, exception handling, lineage, and reconciliation.
• Knowledge of modern data movement patterns, including batch processing, APIs, webhooks, pub/sub, message queues, event streaming, change data capture, ETL/ELT, and workflow orchestration.
• Knowledge of cloud-native platforms, multi-tenant SaaS architecture, data platform services, integration frameworks, and enterprise security patterns.
• Knowledge of data contracts, schema management, versioning, metadata, lineage, service-level expectations, data quality rules, and consumer-driven data requirements.
• Knowledge of P&C insurance processes across one or more domains such as policy, billing, claims, distribution, underwriting, reporting, or customer servicing.
• Knowledge of AI, analytics, and automation consumption patterns, including data pipelines for grounding, retrieval, feature generation, operational reporting, decision support, and intelligent workflow execution.
• Skill in developing product requirements for reusable, configurable, observable, secure, and operationally reliable data flow capabilities.
• Skill in prioritizing product work across customer needs, technical dependencies, implementation effort, operational risk, and business value.
• Skill in defining success measures for product capabilities, including adoption, latency, reliability, reuse, onboarding efficiency, and data trust.
• Skill in analyzing complex platform and integration problems and converting them into actionable product decisions.
• Ability to influence cross-functional stakeholders and build alignment across technical and business groups.
• Ability to evaluate trade-offs in ambiguous, multi-stakeholder environments.
• Ability to prepare clear product documentation, requirements, roadmap materials, and decision records.
• Ability to use AI and LLM tools responsibly to support product discovery, research, documentation, analysis, and stakeholder communication.