Lead Technical Program Manager, Data Center Network Delivery Engineering
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[For Singapore]
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Mumbai, Maharashtra, India.Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in technical program management, software engineering, or network engineering, including 5 years managing teams of technical program managers or engineers within a networking environment.
- 8 years of experience in infrastructure planning, capacity strategy, supply chain management, or technical program management within the data center, cloud computing, or related high-tech industries.
- Experience in data centers or network operations.
Preferred qualifications:
- Master's degree or MBA.
- 8 years of experience managing cross-functional/team projects.
- Strong analytical, communication, and presentation skills with the ability to operate with intensity and flexibility in a fast-moving, constantly evolving and collaborative environment.
About the job
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.
As a DCNet Delivery Manager, you'll be at the helm of critical network deployment programs, directly managing a team that drives the tactical work. You'll guide them in organizing complex cross-functional projects, ensuring clear ownership, streamlined workflows, and meticulously managed master schedules. Success in this role demands a strong technical background in infrastructure, capacity planning, servers, networks, and data center operations, along with excellent communication and presentation skills to influence leaders and foster collaboration across all business.
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.
Responsibilities
- Manage a team of Project Managers/Engineers responsible for cross-functional coordination, design and oversight of data center network and capacity growth projects in a given region to deliver on on-time delivery and cycle time goals.
- Hire, coach and develop a team of Network Engineers to meet objectives.
- Define and develop cross-team roles, expectations, and responsibilities.
- Work with direct reports and partner teams to set and implement short term and long term infrastructure delivery strategy for the region.
- Deliver effective execution at scale within large, multi-project programs.
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