Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.
About this role
A Senior ProServe Cloud Architect (PCA) role in AWS Professional Services, a consulting organization supporting customer success from both business and technology perspectives. Using AWS service and AI knowledge plus consulting experience, the role supports the digital transformation of enterprise customers, working closely with account sales, solutions architects and support teams to solve customers' business and technical challenges. The PCA is a technical role handling consulting sales, requiring the ability to organize and visualize customer challenges, industry expertise, hands-on project delivery experience, and experience formulating AI/cloud strategy. Responsibilities include deep-diving into customer challenges and visualizing root causes, proposing consulting solutions, agreeing on scope, timeline, cost and deliverables to conclude contracts, then leading projects hands-on and aligning continuously with customers' business goals. This posting specifically seeks consultants with experience in the manufacturing or telecom industries. Based in Tokyo. Full-time.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Design production-grade AWS data architectures for enterprise customers, spanning analytics, warehouses, data lakes, pipelines, streaming, search, governance, security, cost, and operations.
Leads end-to-end customer deployments, builds and manages a field engineering organization, develops delivery tools and playbooks, and reviews production code across frontend and backend systems.
Leads technical collaborations and research on hybrid quantum-classical applications for AI, high-performance computing, simulations, and digital twins.
Lead platform engineering for AI-native software development and operations, building automation, quality, monitoring, and secure systems for sensitive medical data.