Senior Manager, Product Management – Data Orchestration

Duck Creek Technologies

. Drive product planning and roadmap execution for 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 for data orchestration, including the development of product requirements, data flow capabilities, and integration with AI and analytics. Proficient in translating complex data needs into actionable product priorities while ensuring alignment across cross-functional teams.

Highest-signal resume keywords

Product ManagementData OrchestrationAPI-Based Data FlowsData Pipeline DevelopmentCloud-Native Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MovementWorkflow OrchestrationETL/ELTData ContractsMetadata ManagementSchema VersioningEvent-Driven ArchitectureIntegration PlatformsData Quality RulesObservability

Soft Skills

Cross-Functional CollaborationStakeholder InfluenceAnalytical Problem Solving

Tools & Technologies

SaaSPaaSAI ToolsLLM Tools

Industry Keywords

P&C Insurance ProcessesAnalyticsAutomationData Governance

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

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

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
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

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