Senior Manager, Product Management – Data Orchestration

🕒 il y a 27 jours

🏄 California, Massachusetts – Distant

🏄 California – Remote 🍂 Massachusetts – Remote

💵 $153 900 - $219 800 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Duck Creek Technologies

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2000

🛡️ Assurance

☁️ SaaS

🏢 Entreprise

💰 €230 000 000 Private Equity Round en 2020-06

Insurance • SaaS • Enterprise

Duck Creek Technologies est un fournisseur de premier plan de solutions logicielles complètes pour le secteur de l'assurance, en se concentrant spécifiquement sur l'assurance de biens et de responsabilités civiles (P&C). Leur plateforme offre une suite de solutions de systèmes principaux, y compris la gestion des polices, de la facturation, des sinistres et des analyses. Avec un fort accent sur la configurabilité low-code, Duck Creek permet aux assureurs de mettre en œuvre rapidement des changements et de lancer de nouveaux produits pour répondre aux besoins du marché. L'entreprise met également l'accent sur les partenariats avec des innovateurs technologiques de premier plan pour offrir des expériences clients améliorées et rationaliser les opérations des assureurs à travers le monde.

Description

• Drive product planning and roadmap execution for Duck Creek’s data orchestration capabilities • Develop and maintain product requirements for orchestrating data across policy, billing, claims, distribution, customer, document, analytics, AI, 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, transformation templates, 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 notification patterns • Prioritize orchestration capabilities supporting insurance workflows such as policy-to-analytics synchronization, claims event publishing, billing and payment feeds, party synchronization, distribution data flows, document metadata movement, regulatory reporting feeds, and AI-ready data delivery • Partner with AI, analytics, and semantic data product teams on LLM grounding, retrieval-augmented generation, feature pipelines, dashboards, reporting marts, knowledge graphs, vector indexes, and intelligent workflow automation • Evaluate adoption, reliability, and business impact using pipeline success rates, data latency, onboarding time, implementation-effort reduction, reuse, and downstream data trust • Collaborate with Security, Architecture, and Data teams on governance, access, observability, operational controls, and data quality • Engage customer-facing teams and customer stakeholders to understand implementation patterns and operational pain points • Develop product documentation, requirements, decision materials, and stakeholder communications • Work cross-functionally across Product, Engineering, Architecture, Data, AI, Security, Customer Success, Professional Services, and customer stakeholders

🎯 Exigences

• 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 • 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 • Knowledge of data orchestration concepts, including ingestion, transformation, routing, scheduling, synchronization, event publishing, monitoring, exception handling, lineage, and reconciliation • Knowledge of 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 • 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 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 for product discovery, research, documentation, analysis, and stakeholder communication • Must be legally authorized to work in the country of the job location • Willingness to travel 10% • Master’s degree or equivalent advanced experience in a relevant discipline (preferred)

🏖️ Avantages

• 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 • AI-assisted tools reviewed by Duck Creek team members, with final hiring decisions made by people