Business Operations Program Manager, Data Center Tech

Google•Austin, TX

2d•$90,000 - $129,000

About The Position

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 a Business Operations Program Manager, you will play a crucial role in overseeing the maintenance agreements of Data Center related systems. As a stakeholder, you will lead cost control, contractor management, and procurement projects, collaborating with other stakeholders like the Environment, Health, and Safety department. In addition, you will actively support local Data Center Technicians by ensuring they are informed regarding relevant processes. You will serve as a local escalation point for finance-related matters. You will support site management and other business program managers in maintaining metrics, providing data, and conducting analyses to facilitate informed decision-making. 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: $90000 - $129000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor's degree or equivalent practical experience.
2 years of experience in accounting with a focus on managing both accounts payable and accounts receivable.
Experience in vendor management.
Experience in local tax and administrative.

Nice To Haves

Experience in vendor relationships and agreement negotiation.
Experience utilizing enterprise resource planning (ERP) software (e.g., SAP, Sage, Oracle, or equivalent).
Experience in project management software.
Background in providing support for budgeting, forecasting, and the handling of purchase orders.
Knowledge of local authority requirements to ensure the successful delivery of services and products.

Responsibilities

Execute assignments with high levels of self-initiative and adaptability, successfully delivering results across varying levels of supervision.
Collaborate with technical teams to develop Requests for Information, Requests for Proposals, Statements of Work, and Service Agreements, managing the process from structured evaluation to agreement award.
Lead the development and reconciliation of annual operational and capital budgets, providing regular variance analysis and clear insights to ensure alignment with strategic objectives.
Drive financial efficiency by identifying cost-saving opportunities and managing accruals to ensure strict compliance and accurate fiscal forecasting.
Oversee the end-to-end supplier on-boarding and audit process while analyzing cost data to maintain Key Performance Indicators and support data-driven strategic planning.