N

Nelnet

CVC funding FinTech, EdTech, SaaS

Master Data Management Lead - Master Data Management

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, or a related field is required.
  • At least 5 years of experience in master data management, data quality, data engineering, or related data management roles is required.
  • Demonstrated experience authoring match rules, thresholds, and survivorship logic for one or more master data domains, such as customer, account, party, or product, is required.
  • Experience designing identity resolution and golden record logic across multiple source systems is required.
  • Experience working with enterprise CRM data models such as Creatio, Salesforce, HubSpot, or comparable platforms is required.
  • Experience with cloud data warehouse platforms such as Snowflake or comparable platforms, including SQL proficiency sufficient for profiling, match testing, and validation, is required.
  • Experience producing governance documentation that business owners, auditors, and external partners can act on without further interpretation is required.

Responsibilities

  • Author, document, and maintain the match rules, thresholds, and survivorship logic that define golden records for customer, institution, and payment identity across NBS systems.
  • Own the canonical identifier architecture, including canonical institution and customer IDs, and define where those identifiers are assigned, stored, and enforced across the system landscape.
  • Establish formal entity resolution between business unit CRM records, replacing informal name and tax ID matching with documented, repeatable, business-approved match logic.
  • Define system-of-record and ownership rules for master data attributes, and adjudicate conflicts where multiple systems claim authority over the same entity or field.
  • Partner with data engineering to translate the match rulebook into production pipelines, and independently validate that pipeline output conforms to the approved standard.
  • Establish match quality thresholds and monitoring, including false-positive and false-negative review, and define manual stewardship workflows for records that cannot be resolved automatically.
  • Direct remediation of duplicate, conflicting, and orphaned master records at production volume, in coordination with the data quality program.
  • Embed master data requirements into system implementations, migrations, and integration design, including sequencing requirements for identifier assignment prior to data load.
  • Review vendor and implementation partner proposals covering identity resolution, migration mapping, and data acceptance criteria, and confirm scope boundaries before work is contracted.
  • Maintain version control, change history, and business approval records for all match and survivorship rules so that every value can be traced to its source system and governing rule.
  • Provide resolved, consistently keyed master data to downstream analytics, reporting, and artificial intelligence initiatives, and advise on the identity requirements of new use cases before they are built.
  • Facilitate master data decisions with business unit data product owners and stewardship forums, and escalate unresolved ownership disputes to the Director with clear recommendations.
  • Report on master data coverage, match rates, duplicate volumes, and remediation progress to the Director and program stakeholders.

Desired Qualifications

  • Professional certifications related to data management or master data management, such as DAMA CDMP or similar, are preferred.
  • Experience supporting system migrations, consolidations, or platform implementations from a master data or data governance perspective is preferred.
  • Experience in a multi-brand or multi-entity organization where the same customer legitimately exists in more than one business unit's systems is preferred.
  • Experience with master data management tooling or match and merge engines, and with data catalog platforms such as Atlan, is preferred.
  • Experience overseeing external implementation vendors or contractors on data migration or identity resolution scope is preferred.

About the Company

Nelnet

CVC funding FinTech, EdTech, SaaS

Nelnet Ventures serves as the corporate venture capital and innovation arm of Nelnet, investing in early-stage and high-growth fintech, edtech, and SaaS startups with typical checks between $500,000 and $3 million. It combines funding with strategic support by leveraging Nelnet's operational expertise, industry relationships, and resources to help portfolio companies scale. Unlike independent VC firms, Nelnet Ventures aligns investments with Nelnet's core businesses and strategic interests, offering portfolio companies access to a large corporate network and potential integration opportunities. Its approach is to act as a strategic partner that helps startups achieve product-market fit and scale, while enabling Nelnet to explore new markets and stay ahead in technology related to its sectors. The firm’s goal is to foster innovation, expand Nelnet’s reach into new markets, and generate financial returns through its portfolio.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Lincoln, NE
Founded
1977

Recently Posted Jobs

Explore more opportunities at Nelnet

See more jobs