Amy Tseng

About Amy Tseng

As an AWS Hero and technology leader, I drive large-scale cloud transformations, including the successful 1.8PB data migration to the cloud, integrating Generative AI and MLOps to unlock innovation and operational efficiencies. My expertise spans data governance, regulatory compliance, and cloud-native architectures, ensuring enterprise solutions are both scalable and secure.With a deep technical foundation and a customer-obsessed leadership style, I specialize in: Enterprise Data Modernization – Architecting LakeHouse frameworks, implementing automated cloud data access, and modernizing data integration by adopting zero-ETL solutions to accelerate time-to-market for analytics. Cloud & Database Engineering – Leading Oracle cloud migrations, optimizing database performance, and automating CI/CD pipelines for self-service and compliance. AI & MLOps Enablement – Integrating AI-driven automation into cloud ecosystems, driving efficiencies, and ensuring seamless adoption of next-gen data platforms.As one of fewer than 300 AWS Heroes globally, I actively contribute to AWS Product Advisory engagements, influencing the future of cloud technologies while ensuring organizations extract maximum business value from their investments.A frequent speaker at AWS re:Invent and industry events, I’m passionate about sharing insights on cloud migration, data warehousing, and AI-driven transformation, while mentoring the next generation of cloud and data leaders.

Experience

1. Director of Technical Data Products - Chief Data Office

   T. Rowe Price

   Oct 2025 — Present · Washington, DC, US

   Define and standardize enterprise data architecture principles and data product strategy, ensuring alignment across cloud, analytics, and regulatory domains- Shape the roadmap for modernization, automation, and integration with data observability and quality frameworks- Establish enterprise-wide standards for data quality, observability, and data security, strengthening compliance, reliability, and operational trust in data-driven decision-making- Partner with Enterprise Architecture, Cybersecurity, Risk, and Technology Services teams to embed privacy-by-design and data protection controls across the full data lifecycle- Drive adoption of reusable, governed data products and standardized delivery patterns, accelerating time to insight and supporting business innovation at scale

Education

• University of Maryland - Robert H. Smith School of Business

  B.S.