Enterprise Data Governance Consultant-Indianapolis IN-Hybrid

Posted An Hour Ago
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Nashville, TN, USA
Hybrid
60-65 Hourly
Mid level
Artificial Intelligence • Software
The Role
Supports agency-wide data governance, data quality, metadata management, data sharing, stewardship, and data literacy initiatives. Maintains data dictionaries, catalogs, lineage documentation, quality rules, audit trails, and sharing agreements. Coordinates with data owners, stewards, business teams, Legal, and program leaders on classification, retention, access, and security requirements. Develops governance policies, training, templates, and job aids while tracking KPIs, SLAs, and data quality metrics.
Summary Generated by Built In
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.

Skills Required

  • 2+ years of experience with Informatica Enterprise Data Catalog or a similar data catalog tool
  • 2+ years of relationship management or data stewardship experience
  • 3+ years of project oversight, decision-making, and root-cause analysis experience
  • 4+ years of critical thinking, communication, and time management experience
  • Experience with data governance, metadata, and data quality
  • Proficiency with Outlook, Word, Excel, and PowerPoint
  • Data lineage experience
  • Understanding of the data analysis lifecycle
  • Strong collaboration, integrity, and communication skills
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The Company
HQ: Topeka, Kansas
325 Employees
Year Founded: 2011

What We Do

Info Origin is an AI-first technology company. We design and deploy intelligent systems that help enterprises operate with clarity, speed, and scale. From advanced analytics to autonomous workflows, our work is grounded in real-world impact. Our approach brings together data, engineering, and AI to modernize applications, unlock insight, and orchestrate complex operations with precision. Our products and platforms extend this capability: AgentFarm — multi-agent, enterprise-grade, policy-governed AI workforce that enables structured execution, resilient workflows, and full auditability, with parallel reasoning, tool orchestration, and real-time observability. Contract Insights — AI-driven clause extraction, NL search multi-document comparison engine for legal and commercial workflows. CDMS — intelligent document creation, collaboration, and compliance, powered by AI-based automation. Info QA — codeless test automation with end-to-end traceability. We partner with organizations to translate AI ambition into measurable outcomes - securely, responsibly, and at scale.

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