Senior Data Governance Analyst

Guild Mortgage Company, closing loans and opening doors since 1960. As a mortgage banking firm we are dedicated to serving the homeowner/buyer. Our goal is to provide affordable home financing for our customers, utilizing the best terms available while providing a level of professionalism and service unsurpassed in the lending industry.

Position Summary

The Senior Data Governance Analyst is a key technical and business position which plays an important role in the organization by performing a number of activities related to the company’s Information Technology functions. The role is primarily responsible, under limited supervision, for executing the data strategy and governance efforts within the company’s enterprise data platform by documenting and approving metadata for data & analytics, identifying Critical Data Elements (CDEs), documenting data quality rules for various business functions, and collaborating across the enterprise data team. Responsibilities include working with data stewards, owners, IT teams and business stakeholders to assess their data and analytics needs, reviewing and updating the data catalog and other supporting documentation, assessing availability and quality of data and researching internal and external data sources. This role requires strong understanding of data management principles, regulatory requirements, and industry best practices within the finance or mortgage industry.

Compensation

This role is an exempt position with a targeted salary range of $109,114 to $156,510 annually.

Compensation at Guild is influenced by a wide array of factors including but not limited to local and federal minimum wage requirements, education, level of experience, and applicant’s geographical location.

Essential Functions

• Develop and implement and monitor adherence with data governance policies, standards, and procedures to ensure data quality, integrity, and security.
• Partner with key stakeholders, including the business unit leaders, Product, Data & Technology teams, to develop and implement data governance capabilities and apply data standard processes by eliciting metadata, certifying data, and researching internal systems of record and publicly available data sources and assessing their quality of data.
• Partners with Business and Technical Data Stewards to identify, define and maintain data definitions and corresponding metadata across business functions and data domains.
• Review and document translation or transformation requirements for sourced data into the data warehouse.
• Improve quality of sourced data by conducing data profiling, data quality rule creation, monitoring, root-cause analysis and remediation of data issues.
• Maintain the Data catalog with data lineage information (field definition, domain, source system, intermediary and destination system(s), translations, transformation rules, display screens, referenced reports, etc.), Data Stewards and Data Custodian info along with versioning for historic analysis and audit trail.
• Ensure consistent delivery of high-quality insights to key stakeholders by completing report certifications and validating dashboards and reports in a timely manner.
• Identify internal process improvements for automating manual data governance processes, optimizing metadata collection, re-designing data catalog infrastructure for greater scalability, etc.
• Help identify Personally Identifiable Information (PII) data in primary data sources as well as in data architecture, define masking and other data processing rules for special handling of PII data.
• Improve the quality of data used for analysis by assessing the accuracy of new data sources and the effectiveness of new data gathering techniques.
• Design and develop custom workflows using Groovy scripting to automate data governance processes.
• Design and configure metadata models that reflect the organization’s data assets and metadata asset model.
• Experience using or helping to implement MDM tools.
• Develop training materials, use case documentation, and implementation specifications.
• Define Key Performance Indicators (KPIs) and document technical processes to monitor and analyze data governance and data cataloging performance and data accuracy.
• Contribute to the team of data professionals by using expertise to answer questions and sharing templates, reusable artifacts with less experienced teammates, enhancing skillsets and competencies of team members, and sharing business domain knowledge throughout the team.
• Participate in stakeholder reviews and design sessions.
• Leads and/or supports facilitation of working groups, workshops, sessions and training to increase Data Governance Awareness and Data Literacy.
• Provide