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# Data Management Lead

- **Company:** Nelnet
- **Location:** Lincoln, NE, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Data Analysis, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Data Profiling, Data Structures, Data Intelligence, Industry Standard Architecture, SQL Databases, Systems Integration, Information Technology, Data Analytics, Data Management, Software Version Control, User Identification
- **Published:** October 13, 2026
- **Apply:** https://nelnet.wd1.myworkdayjobs.com/MyNelnet/job/Lincoln-NE/Data-Management-Lead_R23235-1

## About the Role

Required:

 * Bachelor's degree in information systems, data analytics, computer science, business, or a related field, or equivalent relevant experience.

Preferred:

 * Professional certification in data management, data governance, or master data management.

EXPERIENCE:

Required:

 * 5 or more years of experience in master data management, data quality, data governance, data engineering, or a related data discipline.

 * Experience defining match rules, thresholds, survivorship logic, identity resolution, or golden-record practices for one or more master data domains.

 * Experience working across multiple source systems and operational or analytical data platforms, including SQL-based data profiling and validation.

 * Experience creating governance and technical documentation that enables business and technical stakeholders to implement and verify standards.

Preferred:

 * Experience embedding master data requirements into system implementations, integrations, or enterprise data initiatives.

 * Experience with master data management, match-and-merge, data catalog, customer relationship management, or cloud data warehouse platforms.

SKILLS:

 * Data Fluency (SQL, data structures, architecture best practices)

 * Critical Thinking

 * Cross-Functional Leadership

 * Stakeholder Management

 * Technical Writing & Documentation

## Description

The Data Management Lead establishes and maintains standards that enable consistent, trusted master data across the organization. This role defines entity resolution, matching, survivorship, authoritative-source, and identifier practices for key data domains and validates that implemented solutions follow approved standards. Working across business and technology functions, the role resolves complex data ownership and quality issues, guides remediation, and embeds master data requirements into new systems and integrations. The position provides subject-matter leadership through expertise and influence rather than direct people management., * Develop, document, and maintain matching, threshold, survivorship, and golden-record standards for master data domains.

 * Define canonical identifiers, authoritative sources, data ownership, and attribute-level governance rules across systems.

 * Establish repeatable entity-resolution practices that support consistent recognition of the same entity across multiple sources.

 * Partner with technical teams to translate approved master data standards into solutions and independently validate results against defined requirements.

 * Set data quality thresholds and monitoring practices, including exception review and stewardship processes for records requiring manual resolution.

 * Lead remediation of duplicate, conflicting, incomplete, and orphaned master records in coordination with data quality and system stakeholders.

 * Embed master data requirements into system, data platform, integration, and implementation designs, including identifier assignment and data acceptance criteria.

 * Evaluate vendor and partner approaches affecting master data, clarify scope boundaries, and assess alignment with approved standards.

 * Maintain version control, change history, approvals, and traceability for master data rules and decisions.

 * Facilitate cross-functional decisions, communicate recommendations, and report on master data quality, coverage, matching, and remediation progress.