Program Schedule Lead, Data Centers
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Minimum qualifications:
- Bachelor’s degree in Construction Management, Engineering, Business Administration, a related technical discipline, or equivalent practical experience.
- 8 years of experience in program management.
- 3 years of experience in Enterprise Project Portfolio Management (EPPM) software, including database management, resource loading, and global change execution.
- 2 years of experience using schedule analytics and health-check software (e.g., Deltek Acumen Fuse) to audit logic density and constraints.
Preferred qualifications:
- Direct experience authoring formal Time Impact Analyses (TIAs) to support or dispute change orders, delay claims, and liquidated damages.
- Strong background in managing complex sequencing specific to data center builds, including long-lead procurement (transformers), environmental permitting, and grid interconnection.
- Proficiency running quantitative schedule risk analyses and Monte Carlo simulations (via Primavera Risk Analysis or Acumen Risk) to forecast milestone probabilities.
- Ability to enforce strict scheduling governance across tier-one contractors, challenge unrealistic data inputs, and effectively influence executive project leadership.
About the job
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.
As a Program Schedule Lead, you will own the Integrated Master Schedule (IMS) by establishing a standardized Work Breakdown Structure and integrating multi-party logic from developers, general contractors, internal stakeholders, OEMs, and utilities. In this role, you will manage day-to-day tactical execution through critical path analysis, quantitative progress tracking, and earned value management to measure physical progress against actual spend. To proactively mitigate risk, you will utilize schedule diagnostics what-if scenario modeling, and formal time impact analyses to manage change orders and protect the project timeline.
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 - $279000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Integrate highly complex schedules from developers, EPC contractors, equipment OEMs, owners-engineers, and interconnecting utilities into a single, cohesive Master Integrated Schedule.
- Monitor the critical path and partner with cost engineering to analyze schedule variances and Schedule Performance Index (SPI) to measure physical progress against actual spend.
- Build "what-if" schedules and prepare formal Time Impact Analyses (TIAs) to evaluate the impact of unexpected disruptions and quantify change orders to mitigate risk.
- Conduct regular schedule updates using quantitative tracking metrics and develop resource-loaded schedules to analyze labor density, craft availability, and heavy equipment utilization.
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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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