Senior Manager, Product Management – Data Orchestration

Duck Creek Technologies

. Drive product planning and roadmap execution for Duck Creek’s data orchestration capabilities .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $153,900 - $219,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management and data orchestration, with a strong focus on developing and executing product requirements for complex data flows and integrations in the insurance and financial services sectors. Proficient in collaborating with cross-functional teams to drive product priorities and measurable outcomes.

Highest-signal resume keywords

Product ManagementData OrchestrationAPI-Based IntegrationP&C Insurance KnowledgeData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MovementWorkflow OrchestrationETL/ELTEvent-Driven ArchitectureData ContractsMetadata ManagementSchema VersioningData Quality RulesCloud-Native PlatformsIntegration Frameworks

Soft Skills

Cross-Functional CollaborationStakeholder InfluenceClear CommunicationAnalytical Problem SolvingTrade-Off Evaluation

Tools & Technologies

SaaSPaaSAI ToolsLLM ToolsObservability Tools

Industry Keywords

InsuranceInsurTechFinancial ServicesRegulated IndustryData Governance

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)

Benefits

Comp & perks

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