Senior Data Quality / Data Governance Analyst

We are seeking a highly experienced Senior Data Quality / Data Governance Analyst to support enterprise data governance and data quality initiatives. This hybrid role combines hands-on data quality analysis with data governance responsibilities, requiring a strong technical background along with excellent business communication skills. Experience in the mortgage domain is highly preferred. Key Responsibilities

• Lead data quality and data governance initiatives across enterprise data platforms.
• Define, document, and manage critical data elements (CDEs), metadata, business glossaries, and data classifications.
• Develop and maintain business glossaries using enterprise data catalog tools.
• Gather, analyze, and document business rules, translating them into data quality rules where applicable.
• Perform data profiling, validation, cleansing, and quality assessments.
• Build and understand data lineage through source-to-target mappings.
• Work closely with Business Data Owners, Data Stewards, and project stakeholders to improve data governance practices.
• Classify sensitive and regulated data, including PII, and apply appropriate governance standards.
• Support metadata management and data cataloging activities using modern governance tools.
• Interpret business requirements and convert them into actionable data quality and governance solutions.
• Collaborate with technical and business teams to ensure data accuracy, consistency, and compliance.

• 8+ years of experience in Data Quality, Data Governance, or related data management roles.
• Strong experience with SQL, data profiling, and data analysis.
• Hands-on experience with Snowflake, Databricks, and Microsoft Azure.
• Strong understanding of ETL processes, data warehousing, and source-to-target mappings.
• Experience with enterprise data catalog tools such as Collibra, Alation, Informatica IDMC, or similar platforms.
• Experience creating and managing business glossaries, metadata, and critical data elements (CDEs).
• Knowledge of data lineage, metadata management, and data classification.
• Ability to identify and classify sensitive data, including PII.
• Excellent communication skills with experience working directly with business stakeholders.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience in the mortgage or financial services industry.
• Experience with Informatica IDMC or Microsoft Purview.
• Knowledge of Alteryx or Informatica Data Quality tools.
• Background in Data Modeling or Data Architecture.
• Experience implementing data quality rules from documented business requirements.
• Familiarity with data privacy and regulatory compliance standards.

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