Data Governance Engineer

Job Description

30 Frank Lloyd Wright Dr. Ann Arbor, MI 48105

Hybrid
- Monday-Thursday onsite with Friday's being remote

A proactive and detail-oriented Data Governance Analyst to contribute to enterprise-wide data governance initiatives. This role plays a key part in supporting the consistency, clarity, and usability of data across departments. The ideal candidate will bring foundational experience in data management, a working knowledge of data modeling and analytics tools, and a strong ability to collaborate with cross-functional teams. This position offers the opportunity to grow into a strategic data governance leader by working closely with senior analysts and business stakeholders to define and standardize key data elements, relationships, and metrics.

• Assist in scheduling and documenting stakeholder interviews.
• Capture initial definitions of KPIs, metrics, and business terms.
• Help facilitate workshops and take notes to support alignment efforts.

• Populate and update metadata repositories or data catalogs under supervision.
• Ensure definitions are tagged correctly and follow naming conventions.
• Flag inconsistencies or gaps in definitions for review by senior analysts.

• Assist in documenting table relationships and entity mappings.
• Use tools like ER diagrams or spreadsheets to visualize simple data structures.
• Validate foreign key relationships and report anomalies.

• Support the creation of basic Python scripts/Databricks Metric View for metric calculations.
• Test and validate logic created by senior analysts.
• Maintain a library of reusable scripts and templates.

• Apply existing governance policies to new data assets.
• Participate in data quality checks and report issues.
• Help enforce metadata tagging and naming conventions.

• Create simple flowcharts, diagrams, and documentation for internal use.
• Translate technical concepts into user-friendly guides for business users.
• Maintain version control of documentation and ensure accessibility.

• 0–2 years of experience in data analysis, governance, or related fields
• Basic understanding of relational databases and data modeling
• Exposure to Python for data manipulation
• Strong attention to detail and willingness to learn
• Good communication and organizational skills

All your information will be kept confidential according to EEO guidelines.