Define and document data relationships (e.g., customer, product, mastered customer fields), including data sources and dependencies.
Prioritize and formalize relationships between systems; establish logic and definitions for key data fields in partnership with technical teams.
Gather and document business and functional requirements; translate business needs into data requirements for stakeholders.
Develop and maintain a customer/product master , including formatting standards, data definitions, and stakeholder alignment.
Partner with analytics teams as they build data marts and dashboards; help establish a centralized hub for business users to access analytics.
Own and maintain the data dictionary and data catalog ; ensure accuracy, usability, and adoption across teams.
Document and manage data lineage using tools such as Purview or Alation.
Support the buildout of the data governance pillar , ensuring consistency, traceability, and strong communication across the organization.
Act as the connector between the analysis pillar and business process pillar.
Free up developers by owning governance and documentation work so engineering can focus on coding.
Operate with a self-starter mentality , confidently defining data relationships and independently driving tasks to completion.
3–5 years of hands-on data governance experience ; this is an execution-focused role.
Experience with data dictionary and cataloging initiatives.
Experience creating and driving adoption of Entity Relationship Diagrams (ERDs) .
SQL skills : able to read queries, understand joins, and write basic queries.
Master Data Management (MDM) experience: ability to trace data across systems, understand system of record design, and align gold records across sources (e.g., Oracle, Salesforce).
Tools: Visio or Lucidchart , Purview or Alation .
Industry experience: Enterprise environments .
Strong communication and stakeholder management, comfortable bridging analytics and business processes.
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