13 days ago

Technical Program Manager Machine Learning Data Centers

Google

On Site
Full Time
$163,000
New York, NY
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Job Overview

Job TitleTechnical Program Manager Machine Learning Data Centers
Job TypeFull Time
Offered Salary$163,000
LocationNew York, NY

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Job Description

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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.As the Technical Program Manager, you will be involved in multiple strategic programs focused on improving our data center planning and execution. Within the Third Party Data Center (3PDC) environment, you will act as an interface between the construction delivery leads, engineering leads, developer contract holders, DC supply planning team members, and internal stakeholders and vendors to ensure ML allocation and improvement initiatives are supported. Additionally, you will organize and manage program initiatives through completion including successfully delivering and communicating operational improvements, machine learning progress, and project delivery updates to the business. These program initiatives will focus on the processes, procedures, and tools within the programmatic end-to-end data center delivery plan and execution process.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Participate in and create a program initiative charter, working with internal stakeholders to strategize, plan, and prioritize objectives and success criteria; estimate task durations; ensure schedules and dependencies are aligned; and support those objectives.
  • Seek approval of the program initiative and support requests.
  • Work with teams to identify resources best suited to participate and contribute to an initiative project.
  • Manage, monitor, and communicate progress, risks, and mitigations of the project initiative during the development and execution phase.
  • Ensure that all goals and objectives of the initiative are successfully met with clear implementation strategy, quantifiable impacts to the site teams, and recorded risks prior to completion of the initiative.
  • Report leadership consumption on ML progress, mitigations, and learnings.

Key skills/competency

  • Technical Program Management
  • Machine Learning
  • Data Centers
  • Project Lifecycle Management
  • Stakeholder Management
  • Process Improvement
  • Risk Management
  • Cross-functional Collaboration
  • Engineering Expertise
  • Construction Management

Tags:

Technical Program Manager
Machine Learning
Data Centers
Program Management
Project Management
Cloud Computing
Engineering Management
Process Improvement
Construction Management
Google Cloud

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How to Get Hired at Google

  • Tailor your resume: Highlight experience in data centers, machine learning, and program management relevant to Google's needs.
  • Showcase impact: Quantify achievements in process improvement, project delivery, and cross-functional collaboration.
  • Prepare for technical questions: Be ready to discuss data center infrastructure, ML concepts, and project lifecycle management.
  • Understand Google's culture: Research Google's values, focus on innovation, and collaborative work environment.
  • Practice STAR method: Prepare to discuss past projects using the Situation, Task, Action, Result framework.

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