Job Description

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g. H1‑B, OPT, STEM OPT, CPT, TN, J‑1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement This role is categorized as Hybrid. This means the successful candidate is expected to report to GM offices in Warren, MI or Austin, TX at least 3 days per week, at minimum. The Role The GM Data & AI Governance team is seeking entry‑level candidates to help design and implement policy, process, and technical solutions that proactively deploy governance for enterprise‑scale data and AI platforms. Candidates should have a Master’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field, and be eager to work in a high‑intensity, collaborative environment. What You’ll Do 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. Required Qualifications 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 December 2025 and June 2026. Familiarity with cloud environments (i.e. Azure, AWS, GCP, Databricks, Snowflake, BigQuery environments). Knowledge of APIs, metadata management, and basic data engineering concepts. What Will Give You a Competitive Edge (Preferred Qualifications) Experience or coursework with Atlan, Immuta, or Anomalo (or similar governance, data catalog, data access, data quality platforms). Knowledge of SQL, Java and Python with exposure to modern data engineering practices (ETL/ELT, data modeling). Understanding of data privacy, security, and compliance frameworks. Strong problem‑solving, collaboration, and documentation skills. Interest in Data Governance, AI Governance, and Responsible AI. Demonstrated ability to work in fast‑paced, high‑intensity environments. Strong ability to communicate technical concepts to both technical and non‑technical audiences. Compensation The base salary will be based on factors relevant to the position, as well as geography of the selected candidate. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. What you’ll get from us (Benefits) GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #J-18808-Ljbffr General Motors

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