Gartner Expert

Melody Chien

VP Analyst

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.

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

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

SAP America, Sr. Service Advisor, 8 years

Areas of coverage
  • Data and Analytics Leadership and Programs

  • Data and Analytics Governance

  • Data Management

Education

M.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