Entry-Level Data Governance Engineer for GM's Data & AI Governance team. Supporting policy and technical solutions for enterprise-scale data and AI platforms in a hybrid work environment.
Responsibilities
Contribute to the design and delivery of data and AI governance solutions across Azure and Databricks platforms.
Support integration and optimization of enterprise governance tools, including metadata management, data catalog, lineage, data access, and data quality.
Assist in building and maintaining workflows through a custom API layer for metadata management and platform integration.
Partner with data engineers, architects, and compliance teams to translate technical requirements into sustainable governance solutions.
Participate in developing policies and processes that address data privacy, security, and responsible AI requirements.
Document processes, share knowledge, and help advance governance maturity across the enterprise.
Requirements
Pursuit of a Master’s degree in one of the following areas: Data Science, Computer Science, Information Systems, Business Analytics, or related field.
Must be graduating between Dec 2025 and June 2026.
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