Jobs / United States / General Motors Company
Data Governance Engineer, Early Careers
General Motors Company · 🇺🇸 Warren, Michigan, United States of America
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles2 certified filings for “Senior ML Engineer - Embodied AI Offboard Percepti” (Data Scientists) in CA: $230k–$240k, median $235k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — General Motors Company
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
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.) This role is located at the GM Global Technical Center in Warren, Michigan. The Enterprise Data Governance Office is seeking an early careers Data Governance Engineer to help expand data literacy, data stewardship growth, governance enablement, and community engagement across General Motors. This entry-level role combines technical learning with business and process support. The Data Governance Engineer will help make governance concepts, learning resources, onboarding steps, and practical guidance easier to understand, find, and apply across technical and business audiences. Working under the guidance of experienced data governance and data literacy team members, the Data Governance Engineer will support steward onboarding, community growth, training coordination, communications, learning-path development, documentation, reporting, stakeholder follow-up, and measurement. This is an opportunity to gain practical experience in enterprise data governance, data literacy, data stewardship, change enablement, and cross-functional program execution. The Role At General Motors, data literacy helps employees understand, question, and responsibly use data and artificial intelligence to make informed decisions. Data stewardship helps ensure that data has clear ownership, useful metadata, appropriate classification, measurable quality, and accountable support across its lifecycle. The Data Governance & Data Literacy team supports these outcomes through role-based learning, steward onboarding, data transfer documentation/tracking, hands-on workshops, enterprise events, communications, community meetings, reusable job aids, reporting, and governance enablement. The Data Governance Engineer will contribute to the operating work that turns these activities into a repeatable capability. The role is well suited for a student who enjoys connecting technology, business needs, and practical processes; communicating with different audiences; organizing work; using metrics to understand participation and adoption; and learning how governed data is used across a large enterprise. What You’ll Do • Coordinate data literacy events, workshops, office hours, community meetings, and learning campaigns, including calendars, registrations, materials, attendance, and follow-up. • Help grow the Data Stewardship community by supporting invitations, agendas, discussion topics, feedback collection, recaps, and approved collaboration channels. • Support Data Steward onboarding, including required learning, Atlan onboarding steps, approved access tracking, cataloging activities, office-hours participation, and follow-up actions. • Assist with intake and triage of data governance, data literacy, and data transfer documentation; route policy, privacy, access, data-quality, and tool-specific questions to the appropriate subject-matter expert. • Research and organize content on data governance, metadata, ownership, inbound and outbound data exchange documentation/tracking, stewardship, data quality, responsible data use and analytics. • Create and maintain plain-language communications and reusable materials, including FAQs, job aids, onboarding checklists, quick-start guides, presentations, announcements, learning paths, recordings, and documentation. • Under supervision, help verify approved metadata such as ownership, descripti