Data EngineeringAnalyticsBIOKRsChange ManagementCollaborationRemote Work
About this role
Role Overview
Translate domain needs across underwriting, pricing, claims, finance, and distribution into data product specifications with clear scope, assumptions, and acceptance criteria.
Define and maintain core insurance entities and relationships (e.g., policy, coverage, risk, claim, exposure, transaction), including grain and aggregation rules (e.g., policy-term, risk-level, claim-occurrence, transaction-level).
Define standard insurance metrics and logic (e.g., written/earned premium, loss ratio, frequency, severity, reserves) and ensure consistent interpretation across consuming teams.
Ensure the data product model accurately represents complex structures such as multi-line policies, endorsements, reinsurance structures, claims development, and reserving movements.
Design, enhance, and maintain data products in collaboration with data engineering and platform teams.
Oversee the full data product lifecycle, including versioning, enhancements, deprecation, and backward compatibility.
Support domain prioritization and roadmap planning for data products; maintain a transparent backlog aligned to business outcomes and OKRs.
Define and maintain the documentation to ensure certified data product are shipped with appropriate metadata including business definitions, lineage, quality expectations, usage guidance, ownership.
Collaborate with Data Quality and Data Governance teams to apply federated standards while preserving domain ownership.
Define and execute validation and testing strategies (quality thresholds, completeness checks, reconciliation validations) to ensure reliability for analytics and reporting consumers.
Perform impact analysis and coordinate change management for schema/metric/logic changes across consuming domains; communicate changes clearly and manage transition plans.
Act as the primary point of contact for data product consumers
supporting adoption, correct usage, interpretation, and self-service enablement.
Contribute to reusable templates/playbooks (metric definition template, acceptance criteria checklist, “definition of done” for data products) and coach domain SMEs in applying them consistently.
Requirements
Typically 6–10 years in data-aligned roles (e.g., data product, BI/analytics engineering, data governance/stewardship, domain analytics, technical BA/PO)