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General Motors

Data Governance Engineer, Early Careers

  • Office

Salary

$84,900 - 130,500/ year

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Description

The company does not provide immigration sponsorship for this role. Do not apply if you will need company immigration sponsorship now or later. This covers direct sponsorship, naming the company as employer of record on a government form, and any work authorization that needs a written submission or other immigration support from the company, such as H-1B, OPT, STEM OPT, CPT, TN, or J-1.

The role is based at the GM Global Technical Center in Warren, Michigan.

The Enterprise Data Governance Office is hiring an early careers Data Governance Engineer to grow data literacy, data stewardship, governance enablement, and community engagement across the company. This is an entry-level role mixing technical learning with business and process support. You will help make governance concepts, learning resources, onboarding steps, and practical guidance easier to find, understand, and use for both technical and business readers.

You will work under experienced data governance and data literacy team members on steward onboarding, community growth, training, communications, learning paths, documentation, reporting, stakeholder follow-up, and measurement. It is a chance to build practical experience in enterprise data governance, data literacy, stewardship, change enablement, and cross-functional program work.

The team teaches employees to question and use data and AI responsibly through role-based learning, workshops, events, and community meetings. Stewardship gives data clear owners, useful metadata, correct classification, measurable quality, and accountable support over its life.

Responsibilities

  • Coordinate data literacy events, workshops, office hours, community meetings, and learning campaigns, including calendars, registrations, materials, attendance, and follow-up.
  • Grow the data stewardship community by handling invitations, agendas, discussion topics, feedback, recaps, and approved collaboration channels.
  • Support steward onboarding, including required learning, Atlan setup steps, approved access tracking, cataloging work, office-hours attendance, and follow-up.
  • Help triage requests on governance, data literacy, and data transfer documentation, and send policy, privacy, access, data quality, and tool questions to the right subject-matter expert.
  • Research and organize material on governance, metadata, ownership, inbound and outbound data exchange documentation and tracking, stewardship, data quality, responsible data use, and analytics.
  • Build and update plain-language FAQs, job aids, checklists, quick-start guides, presentations, announcements, learning paths, recordings, and documentation.
  • Under supervision, check approved metadata such as ownership, descriptions, and classifications.
  • Maintain metric definitions, source notes, and reporting trackers, run basic dashboard quality checks, and prepare status updates, dashboard summaries, community recaps, and presentations.
  • Work with stewards, domain representatives, technical teams, communications and learning partners, and governance experts while following company rules on data protection, privacy, cybersecurity, access, and responsible data and AI use.
  • Perform other related duties as assigned.

Requirements

  • Be currently enrolled in an accredited bachelor's or master's program in Management Information Systems, Information Systems, Business Analytics, Data Analytics, Computer Information Systems, Business Administration, Computer Science, or a related field.
  • Have a basic understanding of how business processes, information systems, and data support organizational decisions.
  • Show interest in data governance, data literacy, data stewardship, analytics enablement, responsible AI, or related areas.
  • Organize information, manage details, follow set processes, and finish work on time.
  • Communicate clearly in writing, speech, and visuals, including explaining technical or process topics to non-technical audiences.
  • Collaborate with many stakeholders and work well on a team.
  • Show curiosity, a willingness to learn, and the ability to take in and act on feedback.
  • Have basic skill with Microsoft Office or similar tools, including document, presentation, spreadsheet, and collaboration apps.
  • Work at the GM Global Technical Center in Warren, Michigan and join virtual and in-person meetings as the team requires.
  • Competitive advantage: coursework, project work, or an internship in data governance, stewardship, data quality, business process analysis, learning design, communications, community engagement, or program coordination.
  • Competitive advantage: familiarity with SQL, spreadsheets, data visualization, survey tools, reporting, or dashboard building.
  • Competitive advantage: exposure to data catalogs, metadata, ownership, classification, data quality, privacy, data contracts, or lifecycle concepts.
  • Competitive advantage: exposure to steward onboarding, communities of practice, office hours, enablement programs, or adoption measurement.
  • Competitive advantage: exposure to tools such as Atlan, Immuta, Anomalo, Databricks, Power BI, Confluence, Degreed, Slack, or similar platforms.
  • Competitive advantage: strong documentation, collaboration, analysis, and communication skills with technical and business audiences.

Conditions

Base salary range is $84,900 to $130,500. The actual offer falls within this range and depends on factors relevant to the position.

Bonus potential: an incentive pay program pays out based on company performance, job level, and individual performance.

Work is based at the GM Global Technical Center in Warren, Michigan.

Where applicable, candidates may need to pass a role-related assessment and or a pre-employment screening before starting.

The company is committed to equal employment opportunity and an inclusive workplace free of unlawful discrimination.

Benefits

  • Health and wellbeing coverage, including medical, dental, vision, a Health Savings Account, and Flexible Spending Accounts.
  • Retirement savings plan, sickness and accident benefits, and life insurance.
  • Paid vacation and holidays, tuition assistance, an employee assistance program, and GM vehicle discounts, among other perks.
  • Support for wellbeing at work and at home, with total rewards details available on the company's careers resources.

Where you’d work

From the office

No visa sponsorship

About the company

General Motors

  • Industry: Mobility

Office in United States

Also hiring in Sunnyvale, United States, Seattle, United States, Austin, United States and 8 more places

32 of their 197 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

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14 checks

1 red flag

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7 checks

2 red flags

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • SQL
  • Databricks
  • Power BI
Type
Full-time
Industry
Mobility
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Development
Tech stack
  • SQL
  • Databricks
  • Power BI

Location

Work model
Office
Region
United States
Office
  • United States
Visa sponsorship
Not sponsored

Compensation

Salary
$84,900 - 130,500 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Mobility

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