Senior Manager, Product Management – Data Orchestration

🕒 September 24

🏄 California, Massachusetts – Remote

🏄 California – 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

• Drive product planning and roadmap execution for data orchestration capabilities • Develop and maintain product requirements for orchestrating data across Duck Creek products, customer ecosystems, analytics platforms, AI services, and third-party ecosystems • Translate complex data movement, platform architecture, and insurance workflow needs into product priorities, requirements, trade-off decisions, and measurable outcomes • Partner with Engineering and Architecture to define scalable batch, near-real-time, event-driven, streaming, API-based, and workflow-triggered data flows • Develop requirements for reusable data pipelines, configurable data flows, mappings, transformations, validation, dependency management, retries, replay, exception handling, reconciliation, and monitoring • Define requirements for data contracts, schema versioning, event and API payloads, backward compatibility, lifecycle management, metadata, lineage, and consumer notifications • Prioritize orchestration capabilities supporting policy, claims, billing, distribution, document, regulatory reporting, analytics, and AI workflows • Partner with AI, analytics, and semantic data teams on LLM grounding, retrieval-augmented generation, feature pipelines, dashboards, reporting marts, knowledge graphs, vector indexes, and intelligent workflow automation • Evaluate adoption, reliability, business impact, latency, onboarding efficiency, reuse, implementation effort, and data trust • Collaborate with Security, Architecture, and Data teams on governance, access, observability, operational controls, and data quality • Engage customer-facing teams and stakeholders to understand implementation patterns and operational pain points • Develop product documentation, requirements, decision materials, and stakeholder communications

🎯 Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Information Systems, Data Management, Engineering, Business, Insurance, Analytics, or a related discipline • 6+ years of experience in product management, technical product management, platform product management, data product management, enterprise software, SaaS, PaaS, or related roles • Experience leading complex product initiatives or capability areas requiring alignment across product, engineering, architecture, data, customer-facing, and business teams • Experience with data platforms, data pipelines, integration platforms, workflow orchestration, data movement, APIs, event-driven architecture, ETL/ELT, data contracts, metadata, lineage, observability, or enterprise integration patterns • Experience translating ambiguous business and technical problems into structured product priorities, requirements, and measurable outcomes • Knowledge of data orchestration concepts and modern data movement patterns • 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 • Knowledge of AI, analytics, and automation consumption patterns • Skill in developing 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 including adoption, latency, reliability, reuse, onboarding efficiency, and data trust • Skill in analyzing complex platform and integration problems • Ability to influence cross-functional stakeholders and build alignment • Ability to evaluate trade-offs in ambiguous, multi-stakeholder environments • Ability to prepare product documentation, requirements, roadmap materials, and decision records • Ability to use AI and LLM tools responsibly • Must be legally authorized to work in the country of the job location • Willingness to travel 10%

🏖️ 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

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