Program Manager, Data Center Construction Workforce Development

Program Manager, Data Center Construction Workforce Development

_corporate_fare_ Google _place_ Addison, TX, USA;
Midlothian, TX, USA; +3 more; +2 more _laptop_windows_ Remote eligible

** Advanced*
* Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Note:

Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

** In-office locations:
Addison, TX, USA;
Midlothian, TX, USA;
Haskell, TX, USA.*
* ** Remote location(s):
Texas, USA.*
* *
* Minimum qualifications:

*
* + Bachelor's degree or equivalent practical experience.

+ 8 years of experience in program or project management.

+ 8 years of experience managing construction-related programs, labor operations, or workforce development initiatives within an organization.

*
* Preferred qualifications:

*
* + Master's degree in Construction Management, Industrial Engineering, Business Administration, or a related technical field.

+ 8 years of experience managing cross-functional or cross-team projects.

+ Experience setting up or managing vocational training, apprenticeship programs, or regional recruitment pipelines with mechanical/electrical trade partners.

+ Functional knowledge of Google Workspace tools including GMail, Drive, Docs, Chat, Slides, Sheets, Gemini, or other Google developed software and tools.

+ Strong stakeholder management skills, with experience aligning internal execution teams and external vendors/contractors.

** 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.

As a Special Projects Workforce Development Program Manager, you will address the critical electrical and piping trade gaps directly impacting hyper-scale AI data center delivery. Guided by Google's three respects, you will respect the opportunity to transform regional workforce resource constraints into sustainable pathways for high-quality career advancement. You will own the strategic rollout of custom training programming and facilities, leverage your network for talent recruitment, localized upskilling pipelines, and craft support networks across the region.

This role requires a mission-critical specialist with deep connection into crafts person pipelines, construction project knowledge, sophisticated data tracking capabilities, and a passion for solving complex, and large-scale industrial labor logistics.

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 $189,000-$274,000 + 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…