Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Job Summary
We are seeking an experienced and detail-oriented Data Steward to drive the execution of enterprise data governance and data quality initiatives. This role operates as an independent contributor, responsible for ensuring that data assets are trusted, well-governed, and accessible across the organization.
The Data Steward will own the governance, lineage, and quality of data assets across the full data lifecycle—from ERP source systems through RAW, consumable, and KPI layers. Leveraging data.world as the enterprise data catalog, this role will ensure strong metadata management, lineage transparency, and data discoverability.
A key focus of this role is to establish a consistent, trusted semantic layer that supports analytics and AI use cases, ensuring data is clearly defined, standardized, and ready for downstream consumption. The role requires a balance of governance expertise and hands-on technical capability (SQL and Python) to validate data, enforce quality,



and support metadata and lineage automation.
Key Responsibilities
Data Governance, Lineage & Stewardship
Own and manage end-to-end data lineage from ERP → RAW → consumable → KPI layers, ensuring traceability, transparency, and alignment with governance standards.
Maintain and curate data assets within data.world, ensuring datasets are accurately classified, documented, and contextually enriched.
Define, implement, and enforce metadata standards, including business definitions, lineage, and transformation logic across the data pipeline.
Partner with business and technical stakeholders to identify and steward critical data elements (CDEs) across all layers.
Establish and standardize business definitions, metrics, and KPIs, contributing to a governed semantic layer for analytics and AI.
Improve data discoverability, lineage visibility, and contextual clarity to enable trusted data usage.
Data Quality Management (End-to-E

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