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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Council Bluffs, IA, USA; Clarksville, TN, USA; Wilmer, TX, USA; Pryor Creek, OK 74361, USA; Austin, TX, USA.
Minimum qualifications: - Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in program management.
- Experience with data centers.
- Experience in electrical, mechanical, or systems engineering.
Preferred qualifications: - Bachelor's degree in Mechanical, Electrical, or a related engineering field.
- 2 years of experience managing cross-functional or cross-team projects.
- Experience with industrial controls in critical environments (e.g., data centers, manufacturing, pharmaceuticals, defense and aviation).
- Equivalent trade backgrounds in electrical or mechanical systems.
- Train and assist internal team with the creation, design, configuration, validation, installation, commissioning and operation of BMS, and EPMS and SCADA systems.
- Ability to leverage AI and automation tools (e.g., Large Language Models (LLMs), App Scripts) to streamline technical program management workflows.
About the jobA 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.
The Google Data Centers team (GDC) designs, builds and operates many gigawatts of reliable, efficient, flexible data centers around the world. Our data centers are the foundation of all Google services and infrastructure, from classic servers and networking to bespoke storage and advanced AI hardware. Google data centers lead the industry in efficiency and carbon footprint, and regularly introduce innovative new technologies and approaches in our tireless quest for the ideal data center portfolio.
Google's Data Center Operations (DCOps) team acts as the stewards of the physical infrastructure that powers the world's information. We operate the mechanical, electrical, and control systems that keep our servers running 24/7/365.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Lead technical projects, such as those involving Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS) for both Greenfield (new build) and Brownfield (retrofit) sites. This includes developing project scope, schedule, budget, and resource allocation, collaboration with internal and external teams.
- Respond to and resolve incidents related to critical infrastructure, including and utilizing data from BMS and EPMS systems. This may involve troubleshooting, coordinating with vendors, and implementing preventative measures.
- Collect and analyze operational data, including incident reports and system performance metrics, to identify trends and drive process improvements.
- Develop dashboards and visualizations to monitor system health, identify optimization opportunities, and make data-backed recommendations to enhance operational efficiency.
- Collaborate with operational teams and vendors to mitigate any risks identified.
