Senior Manager, Product Management – Data Orchestration

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🔥 vor 1 Stunde

🏄 California, Massachusetts – Remote

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💵 $153.900 - $219.800 / Jahr

⏰ Vollzeit

🟠 Senior

✅ Produktmanager

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 0%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Duck Creek Technologies

Duck Creek Technologies

1001 - 5000 Mitarbeiter

Gegründet 2000

🛡️ Versicherung

☁️ SaaS

🏢 Unternehmen

💰 €230.000.000 Private Equity Round im 2020-06

Insurance • SaaS • Enterprise

Duck Creek Technologies ist ein führender Anbieter umfassender Softwarelösungen für die Versicherungsbranche, mit besonderem Fokus auf Sach- und Haftpflichtversicherungen (P&C). Ihre Plattform bietet eine Suite von Kernlösungen, einschließlich Policenmanagement, Abrechnung, Schadensbearbeitung und Analytik. Mit einem starken Schwerpunkt auf Low-Code-Konfigurierbarkeit ermöglicht Duck Creek Versicherern, schnell Änderungen umzusetzen und neue Produkte auf den Markt zu bringen, um den Bedürfnissen des Marktes gerecht zu werden. Das Unternehmen legt zudem großen Wert auf Partnerschaften mit führenden Technologieinnovatoren, um verbesserte Kundenerfahrungen zu bieten und die Abläufe für Versicherer weltweit zu optimieren.

Beschreibung

• 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

🎯 Anforderungen

• 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%

🏖️ Vorteile

• 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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