Enterprise Data Governance Consultant

Info Origin Inc; Nashville (TN); Hybrid; USD 83,000 - 90,000; Full time

Job summary

Info Origin Inc. is seeking an Enterprise Data Governance Consultant to support agency-wide governance, quality, metadata, and sharing initiatives. The role collaborates with data owners, stewards, business teams, and Legal to ensure data is documented, protected, and governed.

The contract position requires strong collaboration and governance experience, with responsibilities spanning policy support, data catalogs, quality rules, and training delivery.

Qualifications

• 2+ years Informatica Enterprise Data Catalog or similar.
• 2+ years relationship management/data stewardship.
• 3+ years project oversight and root-cause analysis.
• 4+ years critical thinking, communication, and time management.
• Experience with data governance, metadata, and data quality.
• Proficiency with Outlook, Word, Excel, and PowerPoint.
• Data lineage experience is highly desired.
• Understanding of the data analysis lifecycle is highly desired.
• Strong collaboration, integrity, and communication skills.

Responsibilities

• Support data governance policies, SOPs, and stewardship programs.
• Maintain data dictionaries, metadata, data catalogs, and Dataset Reference Sheets.
• Manage data quality rules and track data quality issues.
• Review and coordinate internal/external data sharing requests.
• Maintain audit trails and support Data Sharing Agreements.
• Support data classification, retention, access, and security requirements.
• Develop and deliver data governance and data literacy training.
• Create governance guides, templates, and job aids.
• Track governance KPIs, SLAs, and data quality metrics.
• Work with data owners, stewards, custodians, and program leaders.
• Support continuous improvement of the agency data governance framework.

Skills

Informatica EDC

Relationship management

Project oversight

Root-cause analysis

Critical thinking

Communication

Time management

Data governance

Data quality

Data lineage

Tools

Outlook

Word

Excel

PowerPoint

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Enterprise Data Governance Consultant

Salary Range: $60.00 To $65.00 Hourly

Position: Data Governance Analyst

Location: Indianapolis, IN (Hybrid)

Employment Type: Contract

Interview Process: Video Only

Job Summary

The Data Governance Analyst will support agency-wide data governance, data quality, metadata management, data sharing, and stewardship initiatives. The role will work with data owners, stewards, business teams, and Legal to ensure data is properly documented, protected, and governed.

Key Responsibilities

• Support data governance policies, SOPs, and stewardship programs.
• Maintain data dictionaries, metadata, data catalogs, and Dataset Reference Sheets.
• Manage data quality rules and track data quality issues.
• Review and coordinate internal/external data sharing requests.
• Maintain audit trails and support Data Sharing Agreements.
• Support data classification, retention, access, and security requirements.
• Develop and deliver data governance and data literacy training.
• Create governance guides, templates, and job aids.
• Track governance KPIs, SLAs, and data quality metrics.
• Work with data owners, stewards, custodians, and program leaders.
• Support continuous improvement of the agency data governance framework.

Required Skills

• 2+ years Informatica Enterprise Data Catalog or similar.
• 2+ years relationship management/data stewardship.
• 3+ years project oversight and decision-making/root-cause analysis.
• 4+ years critical thinking, communication, and time management.
• Experience with data governance, metadata, and data quality.
• Proficiency with Outlook, Word, Excel, and PowerPoint.
• Data lineage experience is highly desired.
• Understanding of the data analysis lifecycle is highly desired.
• Strong collaboration, integrity, and communication skills.