Finance Manager, Cloud Ai

MicrosoftRedmond, WA
6d

About The Position

Analyze Azure server fleet health across Azure workloads, identify improvement areas, and influence fleet to achieve target health utilization. Assess both peak and mean utilization. Analyze multi-bottleneck resource consumption for storage workloads and identify demand shaping scenarios to allow for improved server resource utilization. Extend server demand signal planning horizon to contribute to effective long-term hardware planning. Build replacement capacity scenario analysis as needed to influence optimal decommission planning. Analyze drivers for monthly Azure server rack plan for changes. Ensure rack plan fidelity and reasonableness. Partner with Azure Engineering Group and Workload Owners to validate changes and ensure proper server resource allocation. Analysis and modeling for strategic projects, new responsibilities, or ad hoc needs to unlock breadth of impact across team and partners.

Requirements

  • Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership, finance, or related field OR equivalent experience
  • Financial Analysis IC3

Responsibilities

  • Analyze Azure server fleet health across Azure workloads
  • Identify improvement areas
  • Influence fleet to achieve target health utilization
  • Assess both peak and mean utilization
  • Analyze multi-bottleneck resource consumption for storage workloads
  • Identify demand shaping scenarios to allow for improved server resource utilization
  • Extend server demand signal planning horizon to contribute to effective long-term hardware planning
  • Build replacement capacity scenario analysis as needed to influence optimal decommission planning
  • Analyze drivers for monthly Azure server rack plan for changes
  • Ensure rack plan fidelity and reasonableness
  • Partner with Azure Engineering Group and Workload Owners to validate changes and ensure proper server resource allocation
  • Analysis and modeling for strategic projects, new responsibilities, or ad hoc needs to unlock breadth of impact across team and partners
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service