Senior PM: Infrastructure Supply & Demand Planning

Google

Austin (TX)

On-site

USD 159,000 - 230,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off 20 days/year
Sick time (Seattle variant)
Maternity leave 28-30 weeks
Holidays 13 days

Job summary

Google is seeking a Supply Chain Program Manager in the US to lead multi-disciplinary projects across global offices. You will plan requirements, manage schedules, identify risks, and coordinate with cross-functional partners to meet deadlines.

The role spans supplier management, forecasting, and data-driven decision making for AI/ML infrastructure. The position emphasizes material flow optimization, dashboard automation, and advanced analytics to support production demands across the company’s

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of program or project management experience.
  • Experience in supply or demand planning within supply chain management.
  • Experience working with data analytics tools and reporting platforms.

Responsibilities

  • Track supply delivery schedules and identify/mitigate supply risks.
  • Create supply/demand models with what-if analysis for infrastructure deliveries.
  • Drive processes to align material supply with demand forecasts.
  • Design, build, and maintain automated data pipelines and dashboards for real-time insights.
  • Use SQL/Python to model scenarios and optimize cost-to-serve.

Skills

Data analytics
SQL
Python
Dashboard automation

Education

Bachelor's degree or equivalent practical experience
APICS CPIM/CSCP (preferred)

Tools

SQL
Python
Excel
BI dashboards/tools

Job description

Google is seeking a Supply Chain Program Manager in the US to lead multi-disciplinary projects across global offices. You will plan requirements, manage schedules, identify risks, and coordinate with cross-functional partners to meet deadlines.

The role spans supplier management, forecasting, and data-driven decision making for AI/ML infrastructure. The position emphasizes material flow optimization, dashboard automation, and advanced analytics to support production demands across the company’s

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