Melody Chien is a Senior Research Director with Gartner's Data Management team. Ms. Chien's research includes the best practice for building effective data quality programs, and data and analytics governance strategies. She also covers tool selections and vendor evaluations for data quality solutions, metadata management solutions, and data observability tools. Additionally, her research includes generative AI in data management practices and AI-ready data for AI initiatives.
Ms. Chien has over 24 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 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
SAP America, Sr. Service Advisor, 8 years
Western Union, Sr. Technical Service Delivery Manager, 2 years
Data Management Solutions
Data and Analytics Leaders and Programs
M.S., Management Information Systems, University of Arizona
B.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