Program Manager, Leased Asset Management
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Minimum qualifications:
- Bachelor's degree in Real Estate, Business or Asset Investment Portfolios, or equivalent practical experience.
- 5 years of experience in program or project management.
- Experience in industrial/commercial real estate development, lease asset management, or property management, with a focus on contractual structures.
- Experience in business process development, improvement and documentation.
Preferred qualifications:
- 10 years of experience in program/project management.
- Experience in developing and implementing growth strategies across geographical locations.
- Experience in leased colocation, data centers, or industrial properties.
- Ability to communicate effectively to all levels of stakeholders and leadership with excellent communication and visualization skills.
- Ability to identify and solve problems, and analyze data and make sound decisions with excellent problem-solving and investigative skills.
About the job
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.
Responsibilities
- Translate high-level goals and ambiguous real estate requirements into actionable, multi-quarter program roadmaps, ensuring every project has a clear owner, timeline, and defined success metrics.
- Lead working groups with partners in Finance, Legal, Engineering, and Operations to resolve blockers and ensure interconnected projects achieve unified business outcomes.
- Identify life-cycle bottlenecks to design scalable "Version 2.0" operating models, leveraging AI and automation to eliminate manual tasks and improve global efficiency.
- Convert investigative performance insights into growth plans, ensuring consistent implementation and high standards across all geographical locations.
- Own the delivery of critical program outcomes and operational milestones, proactively managing systemic risks, hidden dependencies, and audit requirements.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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