Data Governance Engineer, Early Careers

GM•Warren, MI

10d•Onsite

About The Position

General Motors is seeking an early careers Data Governance Engineer to join the Enterprise Data Governance Office. This entry-level role focuses on expanding data literacy, data stewardship, governance enablement, and community engagement. The position combines technical learning with business and process support, aiming to make governance concepts, learning resources, and practical guidance more accessible to both technical and business audiences. The Data Governance Engineer will work under the guidance of experienced team members to support steward onboarding, community growth, training coordination, communications, learning-path development, documentation, reporting, stakeholder follow-up, and measurement. This role offers practical experience in enterprise data governance, data literacy, data stewardship, change enablement, and cross-functional program execution. The role is ideal for students interested in connecting technology with business needs, communicating with diverse audiences, organizing work, using metrics, and learning about governed data usage in a large enterprise.

Requirements

Currently enrolled in an accredited bachelor’s or master’s degree program in Management Information Systems, Information Systems, Business Analytics, Data Analytics, Computer Information Systems, Business Administration, Computer Science, or a related field.
Basic understanding of how business processes, information systems, and data support organizational decisions.
Interest in data governance, data literacy, data stewardship, analytics enablement, responsible artificial intelligence, or related areas.
Ability to organize information, manage details, follow established processes, and complete assignments on time.
Strong written, verbal, and visual communication skills, including the ability to explain technical or process topics to non-technical audiences.
Ability to collaborate with multiple stakeholders and work effectively in a team environment.
Demonstrated curiosity, willingness to learn, and ability to receive and apply feedback.
Basic proficiency with Microsoft Office or comparable productivity tools, including document, presentation, spreadsheet, and collaboration applications.
Ability to work at the GM Global Technical Center in Warren, Michigan and participate in virtual and in-person meetings as required by the team.

Nice To Haves

Coursework, project work, or internship experience involving data governance, data stewardship, data quality, business process analysis, learning design, communications, community engagement, or program coordination.
Familiarity with SQL, spreadsheets, data visualization, survey tools, reporting, or dashboard development.
Exposure to data catalogs, metadata, ownership, classification, data quality, data privacy, data contracts, or lifecycle concepts.
Exposure to steward onboarding, communities of practice, office hours, enablement programs, or adoption measurement.
Exposure to tools such as Atlan, Immuta, Anomalo, Databricks, Power BI, Confluence, Degreed, Slack, or similar platforms.
Strong documentation, collaboration, analytical, and communication skills with both technical and business audiences.

Responsibilities

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, descriptions, and classifications.
Maintain metric definitions, source notes, reporting trackers, and simple dashboard quality checks; prepare status updates, dashboard summaries, community recaps, and presentations.
Coordinate with data stewards, domain representatives, technical teams, communications partners, learning partners, and governance subject-matter experts while following GM requirements for data protection, privacy, cybersecurity, access, and responsible use of data and artificial intelligence.
Perform other related duties as assigned.