Cloud Infrastructure Health Lead – Google Cloud
Company | |
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Location | Austin, TX, USA, Chicago, IL, USA, Boulder, CO, USA, Atlanta, GA, USA |
Salary | $147000 – $216000 |
Type | Full-Time |
Degrees | Bachelor’s, MBA |
Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree or equivalent practical experience.
- 6 years of experience in Product Management, Customer Engineering, Go-to-Market Strategy, Sales Operations, Strategy and Operations, Management Consulting, Finance, or Program Management.
- Experience with data center infrastructure deployments as well as IaaS compute, storage, database, networking, security, and AI products.
- Experience with data analysis, generating insights to influence executive level decision-makers.
Responsibilities
- Own a territory of infrastructure regions as the subject matter expert for data center consumption, capacity, and service availability.
- Develop business cases for new infrastructure with detailed demand plans across dimensions of data center business, customer usage, product level consumption, and Go-to-Market strategy; design and operate complex financial models.
- Influence executive-level decision-making around core business decisions, such as prioritization of growth opportunities, through scalable and actionable insights to increase productivity.
- Run and improve operations by launching new programs, goal setting, streamlining processes, automating tasks, identifying opportunities across the business, and optimizing resource allocation.
- Organize the design and implementation of business cadence to deliver effective operations and achieve key milestones.
Preferred Qualifications
- MBA or other relevant advanced degree.
- Experience leveraging investigative skills (e.g., financial modeling, Google Sheets, SQL, Looker, etc.) to problem solve, influence business leadership, measure outcomes, and evolve recommendations based on results.
- Experience tailoring and delivering compelling reporting and presentations by the audience, asking strategic questions, and leading conversations that drive results and efficiencies.
- Knowledge of enterprise customers and cloud technologies, products and market landscape.
- Familiarity with data center capacity planning tools and concepts across space and power, compute and storage, and different machine types.