Gartner Expert

Melody Chien

Sr Director Analyst

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.

Previous experience

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.

Professional background

Lenovo, Director of Enterprise Data Management, 2 years

SAP America, Sr. Service Advisor, 8 years

Western Union, Sr. Technical Service Delivery Manager, 2 years

Areas of coverage
  • Data Management Solutions

  • Data and Analytics Leaders and Programs

Education

M.S., Management Information Systems, University of Arizona

B.S., Management Information Systems, University of Arizona

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Top Issues That I Help Clients Address

01

Best practices, programs, tools and strategies in data quality

02

AI-ready data for Generative AI

03

Data management strategies, market trends, and vendors

04

Vendors for Metadata management solutions, data catalog, and metadata use cases

05

Data observability and DataOps technologies and practices