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Proven experience in data governance, data management, data analysis or related roles within medium to large organizations. Strong understanding of core data governance concepts, including data ownership and stewardship, policy and standards management, issue management, data controls, and governance operating models. Hands-on experience with data quality management, including profiling, rule definition, monitoring, remediation, and metric development. Hands-on experience with metadata management, business glossary development, data cataloging, and data lineage documentation. Hands-on experience master data management concepts and practices, including master and reference data, domain ownership, data standards, matching and survivorship, and lifecycle controls. Experience supporting AI governance practices that align with enterprise governance, privacy, security, and compliance requirements. Proficiency in data analysis tools (e.g. SQL, Python) and reporting/BI platforms (e.g., Power BI). Proficiency with data governance tools, data catalogs, metadata repositories, and related workflow platforms (e.g., Collibra, Profisee). .