Enterprise Data Governance Lead
3 days ago
Job Title: Data Governance SpecialistWe are seeking a skilled Data Governance Specialist to lead the setup and governance of our enterprise data catalog using Alation.This role is critical in ensuring our data assets are discoverable, trustworthy, and well-documented for business and technical users across the organization.The successful candidate will play a hands-on role in establishing and curating the catalog, driving metadata management, and collaborating with data owners, analysts, and engineers to document key business metrics and data logic.Key Responsibilities:Implement and operationalize Alation across the organization as the primary Data Steward.Catalog critical datasets, data pipelines, reports, dashboards, and metrics with Data Engineering, BI, and Business teams.Perform hands-on metadata curation, including writing and validating business definitions, technical descriptions, lineage, and data usage notes.Profile datasets using SQL to understand structure, quality, and relationships and ensure accurate documentation.Translate complex data logic into clear, business-friendly descriptions that support data literacy across stakeholders.Coordinate with metric owners and SMEs to document and validate metric definitions, calculations, and usage context.Ensure adherence to data governance and stewardship standards, including stewardship workflows, ownership, and approvals within Alation.Drive user adoption and enablement by conducting demos, training sessions, and office hours.Maintain data catalog KPIs (coverage, freshness, usage) and continuously improve catalog quality.Required Skills & Experience:7-10 years of experience in data stewardship, data governance, or data analytics roles.Hands-on experience with Alation or similar enterprise data catalog platforms.Strong SQL skills with the ability to query, analyze, and validate large datasets.Familiarity with ETL/ELT pipelines and data engineering concepts.Proven experience translating technical data logic into business-consumable language.Strong communication, facilitation, and stakeholder management skills.Experience working in cross-functional teams involving business, data engineering, and analytics.Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.Preferred Qualifications:Experience in cloud-based data platforms.Understanding of data lineage, data quality, and data privacy concepts.Exposure to BI tools and how they integrate with data catalogs.Knowledge of metadata standards.
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