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Technical Program Manager, AI Enablement, Regional Portfolio Planning

Google
San Francisco, USA
Manager · 5+ years experience
Onsite
USD 163000-236000 / year
Discovered 1 weeks ago

Full Job Posting

Responsibilities

  • Lead cross-functional programs that will enable the implementation of AI in all data center asset regional planning functions.
  • Identify gaps and define opportunities for scaling AI solutions, standardizing AI feature implementation, and driving program delivery through technical judgment.
  • Develop and manage complex data sets to create integrated DC asset supply forecasts (including energy, real estate and other critical infrastructure needs), leveraging AI tool outputs to drive critical supply planning and tradeoff decisions.
  • Drive Investment Alignment through robust supply plans; communicate resource requirements and investment signals to key suppliers and execution partners (Acquisition, Energy, Construction) to ensure regional supply plans align with business objectives.
  • Establish cross-functional governance frameworks to enforce planning principles, monitoring impact of asset delivery status and risks from site acquisition through construction completion on the geographic DC supply plans.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • 5 years of experience with artificial intelligence/machine learning projects, tools, or infrastructure with applications.
  • 3 years of experience with data centers in the areas of supply planning, site development, construction, or design.

Preferred qualifications:

  • Experience implementing artificial intelligence within complex enterprise domains.
  • Demonstrated ability to independently develop data-driven technical insights and quickly translate them into executable commercial solutions for the business.
  • Advanced skills in planning and communication management in a cross-functional leadership role, with the ability to create project plans that break down work into discrete phases and manage dependencies.

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