Senior Manager, Product Management – Data Orchestration

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Lead the planning and execution of the product roadmap for data orchestration capabilities.

• Create and manage product requirements to facilitate data orchestration across Duck Creek products, customer ecosystems, analytics platforms, AI services, and third-party systems.

• Convert intricate data movement, platform architecture, and insurance workflow requirements into product priorities, specifications, trade-off decisions, and measurable results.

• Collaborate with Engineering and Architecture teams to establish scalable batch, near-real-time, event-driven, streaming, API-based, and workflow-triggered data flows.

• Formulate requirements for reusable data pipelines, configurable data flows, mappings, transformations, validation, dependency management, retries, replay, exception handling, reconciliation, and monitoring.

• Define specifications for data contracts, schema versioning, event and API payloads, backward compatibility, lifecycle management, metadata, lineage, and consumer notifications.

• Prioritize orchestration capabilities that support policy, claims, billing, distribution, documentation, regulatory reporting, analytics, and AI workflows.

• Collaborate 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.

• Assess adoption, reliability, business impact, latency, onboarding efficiency, reuse, implementation effort, and data trust.

• Work with Security, Architecture, and Data teams on governance, access, observability, operational controls, and data quality.

• Engage with customer-facing teams and stakeholders to identify implementation patterns and operational challenges.

• Produce product documentation, requirements, decision materials, and communications for stakeholders.

⛳️ Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Information Systems, Data Management, Engineering, Business, Insurance, Analytics, or a related field.

• Over 6 years of experience in product management, technical product management, platform product management, data product management, enterprise software, SaaS, PaaS, or related roles.

• Proven experience in leading complex product initiatives or capability areas that require alignment across product, engineering, architecture, data, customer-facing, and business teams.

• Familiarity 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.

• Proven ability to translate ambiguous business and technical challenges into structured product priorities, requirements, and measurable outcomes.

• Understanding of data orchestration concepts and modern data movement paradigms.

• Knowledge of cloud-native platforms, multi-tenant SaaS architecture, data platform services, integration frameworks, and enterprise security standards.

• Familiarity with data contracts, schema management, versioning, metadata, lineage, service-level expectations, data quality rules, and consumer-driven data requirements.

• Understanding of P&C insurance processes across one or more domains.

• Familiarity with AI, analytics, and automation consumption patterns.

• Proficiency in developing reusable, configurable, observable, secure, and operationally reliable data flow capabilities.

• Ability to prioritize product work based on customer needs, technical dependencies, implementation effort, operational risk, and business value.

• Expertise in defining success metrics including adoption, latency, reliability, reuse, onboarding efficiency, and data trust.

• Skill in analyzing complex platform and integration issues.

• Capability to influence cross-functional stakeholders and build consensus.

• Proficiency in evaluating trade-offs in ambiguous, multi-stakeholder contexts.

• Ability to prepare product documentation, requirements, roadmap materials, and decision records.

• Responsible use of AI and LLM tools.

• Must be legally authorized to work in the country where the job is located.

• Willingness to travel up to 10%.

🏝️ Benefits

• Flexible work environment.

• Medical, dental, vision, life, and disability insurance.

• 401(k) retirement plan with employer match (6% 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.