Melody Chien is a research VP analyst, specializing in Data Management and Data Governance practices. Ms. Chien focuses on strategies for data and analytics governance and the creation of robust metadata and data quality programs. Her expertise extends to evaluating vendors and selecting tools for metadata management, data observability, and data quality. Ms. Chien's recent work further explores the management of unstructured data, the development of AI-ready data, and the integration of Gen AI and agentic AI within data management frameworks.
Ms. Chien has over 30 years of experience in data management and BI analytics. She spent most of these years in California Silicon Valley in U.S. and worked on big-sized data management projects in large organizations, such as SAP, Lenovo and PayPal, where she has built professional expertise in data and analytics management.
Prior to her current role, Ms. Chien built Enterprise Data Warehouse and Analytics platform. She provided technical oversight in enterprise data warehouse architecture, data modeling, data capacity planning, data analysis and data visualization best practice. She also set up standard, procedures and policy of IT practices and provided business insight from data assets.
Lenovo, Director of Enterprise Data Management, 2 years
Western Union, Sr. Technical Service Delivery Manager, 2 years
SAP America, Sr. Service Advisor, 8 years
Data and Analytics Leadership and Programs
Data and Analytics Governance
Data Management
M.S., Management Information Systems, University of Arizona
Best practices, programs, tools and strategies in data quality
AI-ready data for Generative AI
Data management strategies, market trends, and vendors
Vendors for Metadata management solutions, data catalog, and metadata use cases
Data observability and DataOps technologies and practices