Strategy and Operations Program Manager, Data Center and Delivery Engineering

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 2 years of experience in program or project management.

* 2 years of experience in management consulting, construction management,

operations, business analytics, or a related function.

* 2 years of experience with SQL (querying structured datasets),

spreadsheet-based modeling (e.g., Sheets), data visualization tools (e.g.,

Looker, Tableau, or similar BI platforms) for business planning, forecasting,

or financial analysis.

PREFERRED QUALIFICATIONS:

* MBA, Master's degree or PhD in a Management field with an emphasis on

Construction, Business Operations, and Strategy.

* 2 years of experience managing cross-functional or cross-team projects.

* Data driven problem-solving skills, with the ability to identify key

challenges, gather and analyze large complex data sets to support hypotheses

and develop actionable recommendations.

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 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.

Reporting to Data Center and Delivery Engineering (DCDE) StratOps Lead, you will

own analytical programs including headcount modeling, capacity planning, and

organizational analytics.

Your projects often span offices, time zones, and hemispheres, and it is your

job to keep all active players coordinated on progress, schedules, risks, and

deadlines.

In this role, you will engage with leaders to design well-constructed analyses,

developing decision support models (such as resource and headcount modeling,

growth analysis, and metrics) that unlock strategic and tactical insights

through key performance indicators and targets. Working cross-functionally with

Analysts, Operations, Engineers, and Team Leaders, you will deliver innovative,

actionable recommendations.

You will have five or more years of relevant experience, is comfortable

operating in a high-paced, changing environment, and can navigate ambiguity

while managing multiple functions efficiently. This position requires strong

communication, analytics, and organization skills to build partnerships across

Google Data Centers (GDC) and Technical Infrastructure (TI), and includes travel

up to thirty percent of the time as required.

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

* Identify and structure critical business problems, distilling complex data

into core issues and actionable, high-impact recommendations.

* Own the DCDE Headcount Model, aligning staffing ratios and Annual Operating

Plan (AOP) forecasting methodologies with Finance, HR, and DCDE leadership.

* Partner with central DCData-AI to coordinate data pipelines, model

enhancements, and automated reporting infrastructure.

* Deliver capacity reporting, organizational health metrics, and executive

operational dashboards to translate complex data into actionable insight.

* Manage recurring planning syncs and cross-pillar communications to maintain

accurate resource plans through organizational changes and implement process

improvements to reduce reporting toil, enhance data quality, and accelerate

workforce planning cycles.