Senior Technical Program Manager, Data Center Planning

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• 8 years of experience in management consulting, capacity planning, or operations planning.
• Experience collaborating and influencing stakeholders spanning across multiple organizations and different levels of responsibilities.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Ability to shift between detailed 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 organization is responsible for identifying the most cost-efficient set of data centers to meet a forecast demand signal and for identifying and planning the Product Areas who will occupy them.

Teams across Google rely on DCP to guide timing and priorities of land acquisition, seed funding, offsite utility infrastructure, long-lead equipment, and construction investments. We drive alignment on what we should build, where, when, and who may occupy it through the Building Demand Plan (BDP) and Earmarks, an extensive set of optimization processes which provides demand justification and outlook for capital funding of data centers. This in turn provides signals to the downstream partner teams to identify new supply options and expansion of current facilities and assets.

Within DCP, In this role, you will be a senior independent contributor who will partner across the Capacity and Demand Planning (C&DP) teams and with partners outside of C&DP to enable rapid and coordinated planning of our data center building capacity.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Responsible for DCPs engagement with our critical ML and Cloud partners to ensure we are coordinating and connecting our planning and reporting through to Vice Presidents (VPs) and our customers. 
  
• Partner with teams developing new data center supply (whether new assets, efficiencies, or left-shifts) to enable a holistic view of our demand plan health
  
• 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 ML stakeholders to make sure our planning outcomes align with critical executive mandates such as Mandarin and local Cloud workloads.
  
• Present and manage trade-offs between multiple competing priorities, raising clear analysis and guidance to leadership to drive decisions.