Senior Technical Program Manager I, Data Center Demand and Allocation Planning, Google Cloud
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience in quantitative data analytics, using a numbers-driven approach for capacity planning.
- Experience applying AI tools and methodologies to automate data analysis.
- Experience managing supply-demand matching and driving cost-efficiency trade-offs.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- 5 years of experience in management consulting, capacity planning, or strategic operations planning.
- Experience deploying AI to run quantitative and qualitative analysis.
- Experience influencing stakeholders across multiple organizations and different levels of responsibilities.
- Experience in global Data Center design, construction, and deployment practices.
- Ability to shift between analysis and big picture thinking and customizing communication based on the audience.
About the job
A 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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Data Center Planning (DCP) organization is responsible for identifying the most cost-efficient set of data centers to meet a 5-year forecast demand signal and for identifying and planning the Product Areas (PAs) who will occupy them. This work relies on a supply-demand matching (SDM) process, coordinated by both sophisticated solver engines and extensive team knowledge, defining the direction of a global, hyperscale data center portfolio. We drive alignment on what we should build, where, when, and who may occupy it through our Space+Power SDMs an extensive set of optimization processes which provides demand allocation and data center building orders. Within DCP, this role is for a senior independent contributor (IC) who will partner cross-functionally to enable rapid and coordinated planning of our data center building capacity.
As a lead IC on the Data Center Planning team, you will be responsible for ensuring that DCP remains aligned with critical executive priorities for ML and Cloud, and fully aligned with our finance partners.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive DCP's engagement with critical ML and Cloud partners to coordinate and connect planning and reporting through to VPs and customers.
- Partner with stakeholders to develop a finance-informed and aligned demand plan, in part by setting up efficient process flows, executive reviews, and decision frameworks.
- Partner with the Cloud internal customers to make sure that we map customer demand through our systems such that it aligns with customer intent and strategic accounts.
- Partner with ML stakeholders to make sure our planning outcomes align with critical executive mandates.
- Partner with teams developing new data center supply, including new assets, efficiencies, or left-shifts, to enable a holistic view of demand plan health.
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