Data Governance

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.

East West Bank is seeking a highly motivated Data Governance Specialist to support the development and operationalization of the bank’s enterprise data governance program. This role will help establish governance standards, improve data quality and transparency, and enable trusted, compliant, and well-managed data across the organization. The position will partner closely with business stakeholders, data owners, technology teams, analytics teams, and risk/compliance functions to implement governance processes, data controls, metadata management practices, and data stewardship frameworks supporting the bank’s enterprise data strategy.

This role is ideal for a hands-on governance practitioner with experience in regulated environments who can balance policy, process, and operational execution while driving enterprise-wide data maturity initiatives.

• Support the implementation and ongoing maturation of the bank’s enterprise data governance framework, including policies, standards, procedures, and operating models.
• Partner with business and technology stakeholders to identify and document Critical Data Elements (CDEs), data ownership and stewardship assignments, business glossaries and data definitions, and data lineage and data flows.
• Coordinate and facilitate data governance working sessions with business units and technology teams to drive alignment on data standards, issue remediation, and governance priorities.
• Support the development and maintenance of enterprise data catalogs, metadata repositories, and lineage documentation using governance platforms such as Microsoft Purview, Collibra, Alation, or Informatica.
• Assist with the implementation of data quality management processes, including data quality rules and controls, issue identification and remediation workflows, root cause analysis, and data quality scorecards and KPI reporting.
• Collaborate with data engineering, analytics, and architecture teams to ensure governance controls are embedded within enterprise data pipelines and analytical platforms.
• Support governance processes related to data classification, sensitive data handling, access governance, data retention and lifecycle management, and regulatory and audit requirements.
• Develop and maintain governance artifacts, including business glossaries, data dictionaries, stewardship matrices, governance process documentation, and operating procedures and standards.
• Assist with enterprise data governance reporting and governance council materials, including metrics related to data quality, stewardship adoption, and remediation progress.
• Participate in regulatory, audit, and risk management activities involving enterprise data controls and governance processes.
• Partner with business stakeholders to improve data literacy and promote adoption of governance best practices across the organization.
• Support governance enablement initiatives within modern Azure-based data environments, including Azure Data Lake, Azure Databricks, Microsoft Fabric, and Power BI ecosystems.

• Bachelor’s degree in Information Systems, Data Management, Computer Science, Business Analytics, or related discipline.
• 6–8 years of experience in data governance, data management, data quality, metadata management, or related enterprise data disciplines,…