Technical Program Manager, Virtual Design and Construction, Google Data Centers

Minimum Qualifications

• Bachelor's degree in Engineering, Architecture, Construction Management, or equivalent practical experience in a relevant field.
• 5 years of experience in program management.
• 5 years of experience in BIM/VDC implementation.
• 5 years of experience with construction projects from start to delivery.
• 5 years of experience with end-to-end BIM lifecycle management.

Preferred Qualifications

• Structural Engineering license or Registered Architecture license.
• Experience in MCAD/CAM programming, operations, or fabrication sequencing software used in digital manufacturing.
• Experience in Virtual Design/BIM software (e.g., Autodesk Construction Cloud, Revit, Microstation, Navisworks) including implementation and troubleshooting.
• Experience modeling or managing 3D product libraries and interfaces.
• Understanding of the principles of program/project management in a technical or ambiguous environment.
• Excellent presentation, collaboration, and strategic thinking skills.

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.

As a Technical Program Manager for Data Center Design, you will lead complex, multi-disciplinary, and geographically dispersed data center design, development, construction, and commissioning projects. You will manage large-scale programs including computer farms, networking, and power distribution, handling complex schedules, budgets, and broad inter-dependencies. You will require extensive experience managing technical projects in a changing industry, the ability to tolerate ambiguity, and demonstrate problem‑solving leadership with limited oversight.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Responsibilities

• Drive the integration of Virtual Design and Construction (VDC) processes and digital strategies across Global Data Centers to improve IP reuse and ensure consistent, optimized model dissemination from design through construction to closeout.
• Establish and enforce global Building Information Model (BIM) content standards including geometry, naming conventions, and engineering data ensuring they are utilized correctly by Design, Engineering, and Sustaining teams.
• Partner with regional design and construction teams to manage sustaining operations vendors by defining scopes of work and agreement language, while providing oversight to ensure requirements are adequately addressed.
• Provide guidance to leadership regarding software utilization (e.g., Autodesk, MCAD) and drive the integration of emerging technologies like AI/Large Language Models (LLMs) to inform top-level decision-making.