Senior Product Leader, Data Orchestration (Hybrid)

Duck Creek Technologies; San Francisco (CA); Hybrid; USD 154,000 - 220,000; Full time

Job summary

Duck Creek Technologies seeks a Senior Manager, Product Management – Data Orchestration for the Bay Area. You will drive data orchestration strategy across ingestion, transformation, routing, and delivery, coordinating with product, engineering, data, AI, security, and customer-facing teams.

Lead requirements for reusable data pipelines, schema versioning, and governance. Collaborate on policy-to-analytics workflows and measure impact on adoption and data trust.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• 6+ years in product management or related roles in software/SaaS.
• Experience leading complex product initiatives across multiple teams.
• Experience with data platforms, pipelines, APIs, and event-driven patterns.
• Ability to translate ambiguous problems into structured product priorities.

Responsibilities

• Drive roadmap and planning for data orchestration capabilities across multiple lanes.
• Translate data movement, platform needs, and insurance workflows into priorities.
• Collaborate with Engineering, Architecture, Data, AI, Security, and Customer Success.
• Define reusable data pipelines, workflow patterns, and monitoring requirements.
• Specify data contracts, schema versioning, and governance expectations.
• Prioritize capabilities supporting policy, billing, claims, distribution, and analytics.
• Support AI, analytics, and LLM-driven data consumption patterns.
• Measure adoption, reliability, onboarding efficiency, and data trust.

Skills

Data orchestration

Product management

Cross-functional leadership

Stakeholder alignment

Observability & data quality

Education

Bachelor's degree or equivalent (CS/IS/Data/Engineering/Analytics)

Job description

Duck Creek Technologies seeks a Senior Manager, Product Management – Data Orchestration for the Bay Area. You will drive data orchestration strategy across ingestion, transformation, routing, and delivery, coordinating with product, engineering, data, AI, security, and customer-facing teams.

Lead requirements for reusable data pipelines, schema versioning, and governance. Collaborate on policy-to-analytics workflows and measure impact on adoption and data trust.