Leadership Technical Program Manager II, Data Center Demand and Allocation Planning, Machine Learning

MINIMUM QUALIFICATIONS:

* Bachelor's degree in a technical field, or equivalent practical experience.

* 8 years of experience in program management.

* 5 years of experience in a leadership role with/without direct reports.

* Experience planning data center infrastructure.

* Experience using data analytics to derive insights and drive process

improvements.

PREFERRED QUALIFICATIONS:

* 8 years of experience managing cross-functional/team projects.

* Experience building consensus, managing competing priorities, and aligning

technical and business partners.

* Ability to guide and align cross-functional teams toward shared goals without

direct authority.

* Skill in translating complex data into clear narratives for executive

leadership.

* Proficiency in applying analytical methods to validate capacity planning and

infrastructure strategies.

ABOUT THE JOB:

Google's projects, like our users, span the globe and require managers to keep

the big picture in focus while being able to dive into the unique engineering

challenges we face daily. As a Technical Program Manager at Google, you lead

complex, multi-disciplinary engineering projects using your engineering

expertise. You plan requirements with internal customers and usher projects

through the entire project lifecycle. This includes managing project schedules,

identifying risks and clearly communicating them to project stakeholders. You're

equally at home explaining your team's analyses and recommendations to

executives as you are discussing the technical trade-offs in product development

with engineers.

Using your extensive technical and leadership expertise, you manage various

Engineering-specific programs and teams.

Data Center Planning (DCP) accelerates Alphabet’s global growth by architecting

a sustainable, data-driven data center roadmap that transforms complex demand

into high-velocity capacity through strategic long-range planning, precise

mid-to-short-term allocation, and automated operational excellence.

Google's data centers host some of the most sophisticated computer

infrastructure in the world. As a team manager in DCP, demand allocation &

planning team, you will lead the team responsible for shaping Google’s

long-range data center capacity allocation. In this role, you will direct

scenario planning, manage high-stakes capacity allocation trade-offs, and act as

the principal planning liaison between abstract resource planning, and

infrastructure delivery teams.

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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Lead and mentor a high-performing team of program managers and data analysts.

Set team strategy, foster career development, and scale team operational

rhythm.

* Own and direct the Alphabet-wide TPU and GPU DC plan of record. Lead in-depth

capacity modeling, scenario analysis, and trade-off frameworks under tight

resource constraints.

* Serve as cross-DCP lead for ML trade-off decisions, executive escalations,

and priority balancing.

* Drive strategic initiatives for DCP planning & system enhancement and

workflow automation in collaboration with engineering partners. Enable

scalable planning automation, standardized change-control policies, and

improved power/space efficiency across fleets.

* Lead effort to codify technical and business requirements across Google

product areas, bridging demand intent with physical supply execution.