Greater Giving, Inc.
Summary of This Role
The Master Data Management (MDM) Data Steward is a critical role within the enterprise Data Governance and Data Asset Management program. This position is responsible for ensuring the accuracy, consistency, and integrity of master data—primarily within the Customer data domain—by overseeing entity verification, data-matching workflows, and adherence to enterprise data quality and governance standards.
The MDM Data Steward works closely with business, technology, and compliance stakeholders to validate business entity records, manage automated matches, review matching recommendations, establish data definitions and business rules, and maintain end-to-end data lifecycle processes. This role also supports continuous improvement of MDM tools and workflows by providing insights based on manual reviews, exception handling, and data quality monitoring.
The role is highly visible across the enterprise and ensures that customer master data is trustworthy, compliant, and aligned with organizational data governance policies
What Part Will You Play? Entity Verification & Data-Matching Oversight
Verify business entities within the Customer data domain, ensuring accuracy, consistency, and alignment to enterprise definitions.
Support and oversee automated data-matching workflows, stepping in to manually validate records when automated matching confidence falls below established thresholds.
Conduct manual reviews of legal names, “doing business as” (DBA) names, and address details to confirm whether matched records represent the same business entity.
Establish and follow standardized verification and approval processes, manually approving or rejecting entity matches based on accuracy and supporting documentation.
Perform additional research using online resources and publicly available data to validate entities when automated matching is inconclusive.
Document all decisions related to entity confirmation to ensure full traceability, auditability, and support of data quality initiatives.
Provide insights and recommendations to improve automated matching logic and workflows based on recurring manual review findings.
Master Data Quality Management
Regularly monitor master data for accuracy, completeness, consistency, and reliability, initiating corrective actions when data issues or inconsistencies arise.
Identify data quality gaps and work with business and technical teams to implement remediation plans and prevent recurring issues.
Ensure master data within the Customer domain remains accurate and aligned to business and regulatory requirements.
Master Data Standards, Definitions & Governance
Establish and maintain data standards, definitions, and business rules for Customer master data elements, ensuring alignment with enterprise data governance policies.
Enforce data integrity rules, business rules, and compliance requirements—including financial, regulatory, and privacy standards.
Maintain oversight of the master data lifecycle (creation, updates, merging, archiving, and deletion) to ensure timely, accurate, and consistent data availability.
Document and maintain metadata, data lineage, and data stewardship artifacts to support consistency and governance across systems and processes.
Stakeholder Collaboration & Operational MDM Support
Collaborate with business units, IT, compliance, and data governance teams to align on master data needs, integration requirements, and data quality expectations.
Serve as a key point of contact for business representatives needing clarification on Customer master data or related governance standards.
Participate in cross-functional initiatives to enhance MDM capabilities, improve data integration, and support enterprise digital transformation efforts.
What Are We Looking For in This Role? Minimum Qualifications
Bachelor's Degree
Relevant Experience or Degree in: Typically, Business Administration, Computer Science, Information Management, Quantitative Analytics, Data Science, or similar discipline
6–8+ years of experience working in data stewardship, data governance, master data management, or similar data-focused roles.
Familiarity with data governance policies, data lifecycle management, and regulatory requirements impacting Customer data.
Preferred Qualifications
Experience working with MDM technologies such as Informatica MDM, Informatica Customer 360, Reltio, or similar master data platforms preferred.
Familiarity with data-matching algorithms, survivorship rules, data quality concepts, and entity resolution processes.
Strong understanding of Customer data structures, entity relationships, and master data workflows.
What Are Our Desired Skills and Capabilities?
Detail-oriented with the ability to review and validate data with high accuracy, especially when assessing automated matches.
Ability to apply critical thinking and independent judgment when verifying business entities and evaluating conflicting information.
Strong problem-solving, analytical, and research skills for resolving master data issues.
Excellent written and verbal communication skills to document decisions and collaborate with cross-functional teams.
Ability to work independently, manage competing priorities, and make decisions within defined stewardship procedures.
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The MDM Data Steward works closely with business, technology, and compliance stakeholders to validate business entity records, manage automated matches, review matching recommendations, establish data definitions and business rules, and maintain end-to-end data lifecycle processes. This role also supports continuous improvement of MDM tools and workflows by providing insights based on manual reviews, exception handling, and data quality monitoring.
The role is highly visible across the enterprise and ensures that customer master data is trustworthy, compliant, and aligned with organizational data governance policies
What Part Will You Play? Entity Verification & Data-Matching Oversight
Verify business entities within the Customer data domain, ensuring accuracy, consistency, and alignment to enterprise definitions.
Support and oversee automated data-matching workflows, stepping in to manually validate records when automated matching confidence falls below established thresholds.
Conduct manual reviews of legal names, “doing business as” (DBA) names, and address details to confirm whether matched records represent the same business entity.
Establish and follow standardized verification and approval processes, manually approving or rejecting entity matches based on accuracy and supporting documentation.
Perform additional research using online resources and publicly available data to validate entities when automated matching is inconclusive.
Document all decisions related to entity confirmation to ensure full traceability, auditability, and support of data quality initiatives.
Provide insights and recommendations to improve automated matching logic and workflows based on recurring manual review findings.
Master Data Quality Management
Regularly monitor master data for accuracy, completeness, consistency, and reliability, initiating corrective actions when data issues or inconsistencies arise.
Identify data quality gaps and work with business and technical teams to implement remediation plans and prevent recurring issues.
Ensure master data within the Customer domain remains accurate and aligned to business and regulatory requirements.
Master Data Standards, Definitions & Governance
Establish and maintain data standards, definitions, and business rules for Customer master data elements, ensuring alignment with enterprise data governance policies.
Enforce data integrity rules, business rules, and compliance requirements—including financial, regulatory, and privacy standards.
Maintain oversight of the master data lifecycle (creation, updates, merging, archiving, and deletion) to ensure timely, accurate, and consistent data availability.
Document and maintain metadata, data lineage, and data stewardship artifacts to support consistency and governance across systems and processes.
Stakeholder Collaboration & Operational MDM Support
Collaborate with business units, IT, compliance, and data governance teams to align on master data needs, integration requirements, and data quality expectations.
Serve as a key point of contact for business representatives needing clarification on Customer master data or related governance standards.
Participate in cross-functional initiatives to enhance MDM capabilities, improve data integration, and support enterprise digital transformation efforts.
What Are We Looking For in This Role? Minimum Qualifications
Bachelor's Degree
Relevant Experience or Degree in: Typically, Business Administration, Computer Science, Information Management, Quantitative Analytics, Data Science, or similar discipline
6–8+ years of experience working in data stewardship, data governance, master data management, or similar data-focused roles.
Familiarity with data governance policies, data lifecycle management, and regulatory requirements impacting Customer data.
Preferred Qualifications
Experience working with MDM technologies such as Informatica MDM, Informatica Customer 360, Reltio, or similar master data platforms preferred.
Familiarity with data-matching algorithms, survivorship rules, data quality concepts, and entity resolution processes.
Strong understanding of Customer data structures, entity relationships, and master data workflows.
What Are Our Desired Skills and Capabilities?
Detail-oriented with the ability to review and validate data with high accuracy, especially when assessing automated matches.
Ability to apply critical thinking and independent judgment when verifying business entities and evaluating conflicting information.
Strong problem-solving, analytical, and research skills for resolving master data issues.
Excellent written and verbal communication skills to document decisions and collaborate with cross-functional teams.
Ability to work independently, manage competing priorities, and make decisions within defined stewardship procedures.
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