The Leased Asset Management (LAM) program serves as the central steward for Google's portfolio of leased data center obligations under executed contracts (leases) that provide capacity to the overall Google space/power portfolio. LAM's key responsibilities include maintaining a single source of truth for lease terms, ensuring the integrity and financial health of these agreements, and preserving the rights to capacity. This is achieved through robust asset management, financially compliant lease administration, and the provision of accurate, high-quality data to support informed decision-making. As a Program Manager you will drive order in leased asset management by transforming ambiguous requirements into structured roadmaps, establishing new processes, and ensuring project accountability. You will foster cross-functional collaboration to build scalable processes and identify life-cycle bottlenecks, designing an evolved operating model for enhanced global efficiency. You will convert investigative insights into growth plans and ensure consistent, high-standard implementation across all global locations. You will own program delivery and benefit realization, fostering a culture of accountability to ensure all deadlines, audits, and milestones are met reliably in high-pressure environments This role will involve working across timezones, geographical borders, and internal and external cross-functional partners. 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 $147,000-$216,000 + 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 job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].
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Job Type
Full-time
Career Level
Mid Level