Job Description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in program management, data analysis, or design within a technical, engineering, or construction environment.
• Experience conducting site due diligence or managing site utility preparation.
• Experience working with site engineers or technical project management teams.

Preferred qualifications

• 5 years of experience in program management specifically focused on large-scale construction, infrastructure development, or data center operations.
• Experience implementing and scaling advanced construction technologies, including Revit, drone surveying, artificial intelligence applications, or GPS tracking.
• Experience managing/partnering with Owner's Representative Project Management (ORPM) teams to oversee Virtual Design and Construction (VDC) and Building Information Modeling (BIM) coordination.
• Experience translating complex technical and logistical data to align cross-functional stakeholders, including site engineers, external vendors, and internal leadership.
• Experience utilizing data analysis and AI solutions to streamline site due diligence, optimize early-stage utility preparation, and drive optimal program efficiencies.

2 years of experience in program management, data analysis, or design within a technical, engineering, or construction environment.

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 the Operational Readiness Lead, you will be a key driver of innovation and efficiency for the Data Center Delivery Engineering West Texas Special Projects team. Your core focus will be ensuring that all site operations and utility preparations are fully optimized and ready for execution.

In this role, you will advocate technology adoption across our sites by leading the integration of advanced tools such as Revit, drones, artificial intelligence, and GPS. You will lead comprehensive site due diligence and utility preparation, laying the critical groundwork for successful infrastructure deployment. Furthermore, you will partner with and provide strategic direction to Owner's Representative Project Management teams, specifically focusing on Virtual Design and Construction, Building Information Modeling, and site engineers. By leveraging your expertise in program management, data analysis, and design, you will identify opportunities for innovation and streamline communication across all stakeholders. This is a unique opportunity to shape the future of Google infrastructure by deploying technologies and driving operational excellence from the ground up.

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

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.

Responsibilities

• Lead technology adoption initiatives across site operations, including the strategic implementation of Revit, drones, AI, and GPS.
• Manage comprehensive site due diligence and utility preparation to ensure operational readiness for West Texas Special Projects.
• Oversee and guide Owner's Representative Project Management (ORPM) teams, specifically VDC, BIM, and Site Engineers.
• Leverage program management and data analysis to optimize processes, improve design outcomes, and drive continuous innovation.
• Facilitate clear and effective communication across internal engineering teams and external partners to ensure project alignment.