Data Center Planning Program Manager, Supply Chain
2 weeks ago
- Bachelor's degree or equivalent practical experience.
- 2 years of experience managing projects.
- Experience in supply chain, data center demand and capacity planning.
- 5 years of industry work experience in data center demand and capacity planning and systems design/automation.
- Ability to manage multiple, engaging priorities.
- Ability to use data (including SQL) and metrics to back up assumptions, evaluate outcomes and challenge conventional wisdom.
- Excellent written and verbal communication skills across technical and non-technical stakeholders.
- Excellent investigative and quantitative skills.
About the jobA problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Define data requirements and metrics, working with teams to implement the entire data flow from capture to presentation and management.
- Instrument a blend of analysis, program design, implementation and operations management skills to improve our processes and data in order to define the long term build forecast.
- Be able to analyze large data sets quickly to identify complex patterns and relationships resulting in operational solutions to real business problems.
- Partner with internal stakeholders in order to identify technological and business constraints to avoid scheduling conflicts in the presence of multiple orders competing for limited resources over the planning horizon.
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