Program Manager III, Machine Learning Deployment, Cloud Supply Chain

Google•Sunnyvale, CA

3d•$159,000 - $231,000

About The Position

The Machine Operations and Deployment Engineering (MODE) - ML-TPU Deployment team is accountable for the orchestration and enablement of machine learning builds from demand creation, constraints enforcement, and infrastructure mapping through to deployment execution through our contract manufacturers and data centers. We focus on timely execution, proactive exception management, and rigorous governance, and we drive delivery policies and transformational programs to enable success for our customers and Google. As a MODE Deployment PgM, you will lead complex, multi-disciplinary projects, define requirements with internal customers, and usher projects through the entire project lifecycle. You'll also manage project schedules, proactively identify risks and clearly communicate goals to project stakeholders. Your projects often span offices, time zones and hemispheres, and it's your job to keep all the players coordinated on the project's progress and deadlines. 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.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in program or project management.
Experience in supply chain planning or capacity planning.
Experience in SQL.

Nice To Haves

5 years of experience managing cross-functional or cross-team projects.
5 years of experience in a supply chain planning organization handling over $1B in spend/year.
Familiarity with supply chains leveraging contract manufactures across the globe.
Ability to communicate with executives on large data sets and defend allocation decisions.
Ability to collect and analyze data.

Responsibilities

Own on-time delivery performance of Machine Learning capacity.
Design, align, and drive efforts to improve efficiency, cycle times, reliability, predictability and on-time delivery.
Executive communication on global delivery outlook, detailed demand status, and align actions to stakeholders including Alphabet's Product Areas, AI leadership and partner organizations.
Collaborate across organizational levels and boundaries.
Oversee and ensure successful execution and delivery of plans and strategies. Troubleshoot issues, identify risk areas and develop mitigation strategies.