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IBM Cloudability Customer Success Manager - Apptio SaaS 
Japan, Tokyo 
27255006

Today

Your Role and Responsibilities
  • Plan, execute, and track new and existing customers Cloud Savings Program across AWS, Azure, GCP, and other cloud providers.
  • Analyze customer business objectives and use the Apptio Cloudability platform to gain insights from reporting, dashboards, and savings programs.
  • Perform analysis and present regular operational reviews to customer & Apptio leadership
  • Collaborate with an internal global team to grow a strategically important part of the Apptio business
  • Partner with other Apptio domain experts to bring together the collective suite of Apptio products to generate insights across customers total IT spend
  • Be the voice of the customer, champion, and advocate for customer requirements with our Product and Engineering teams


Required Technical and Professional Expertise

  • B.S. Computer Science, Engineering, Finance, or equivalent practical experience
  • 3+ years experience in a consultant, Product specialist or analyst role for medium to large-scale business software implementation projects
  • 3+ years of customer account management experience
  • Consulting experience is highly desirable
  • High-level knowledge of enterprise IT organizational, business, and technical environments
  • ITIL or equivalent & Project management skills and experience a plus
Language Skills:
  • Japanese Fluent
  • English professional conversational


Preferred Technical and Professional Expertise

  • Knowledge of public cloud service providers such as AWS, Azure, and Google
  • Infrastructure Operations experience
  • Strong to expert skills in data analysis/manipulation
  • Hands-on experience with relational databases and data modeling
  • Ability to quickly comprehend complex spreadsheets/data to streamline the underlying processes into the Apptio solution; versed in formulaic logic (e.g., Excel).
  • Knowledge and application of relational database concepts
  • Skilled at working with large data sets (in Excel, Access, Flat Files), quickly detecting and resolving data-related issues