Senior Technical Program Manager, Data Center Condition Based Maintenance

Define the global strategy and operational lifecycle for the Condition Based Maintenance (CBM) program portfolio.Govern frameworks for benefit, Total Cost of Ownership (TCO), and return on investment (ROI) analyses for new CBM technologies.Drive executive alignment on operational risks and readiness to fund CBM initiatives.Direct a global portfolio of CBM pilots, forging partnerships with AI and systems engineering teams.Design integration architecture connecting monitoring alerts to enterprise asset management workflows like Maximo.Minimum qualifications:Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.8 years of experience in technical program management, reliability engineering, or data center operations.Experience designing ROI frameworks and leading cross-functional working groups.Experience in mission-critical facility infrastructure and associated failure modes.Experience with CMMS (e.g., Maximo) and predictive maintenance technologies.Preferred qualifications:Experience managing complex electrical and mechanical infrastructure in hyperscale data centers.Experience leveraging CMMS platforms to govern alerting and remediation.Proven track record of executing predictive maintenance strategies at scale.Exceptional executive communication skills to secure executive leadership buy-in.Analytical skills to translate telemetry and anomaly detection outputs.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. 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: $192000 - $278000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA.Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.8 years of experience in technical program management, reliability engineering, or data center operations.Experience designing ROI frameworks and leading cross-functional working groups.Experience in mission-critical facility infrastructure and associated failure modes.Experience with CMMS (e.g., Maximo) and predictive maintenance technologies.