Technical Program Manager — Network Forecasting & Planning

Google; Sunnyvale (CA); On-site; USD 138,000 - 198,000; Full time

Job summary

Google seeks a Technical Program Manager in Sunnyvale, CA to lead cross-functional network demand forecasting projects. You will plan requirements, manage schedules, and communicate with executives and engineers to balance priorities and deliver on OKRs.

You’ll drive autonomous planning, evaluate forecasting methods, and partner with product, data science, and planning teams to deliver insights and improvements to the forecasting model, supporting Google’s global network.

Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience working with data analytics tools (e.g., SQL, BigQuery, R, etc.) and reporting platforms (e.g., Tableau, Microstrategy, Business Objects, etc.).
• Experience with demand planning or forecasting.

Responsibilities

• Lead the processes required to generate and publish a demand plan, understand business inputs and policies, and deliver key insights into network demand trends
• Lead projects that strive for autonomous planning, evaluate new forecasting methodologies, and partner cross-functionally to find efficiencies in our planning processes
• Define the process to operationalize the demand process for new network products
• Partner closely with cross-functional teams to balance competing priorities and gain the necessary alignment to seamlessly deliver on organizational OKRs

Skills

Program management experience

Data analytics

Education

Bachelor's degree in a technical field

Tools

SQL

BigQuery

R

Tableau

MicroStrategy

Business Objects

Job description

Google seeks a Technical Program Manager in Sunnyvale, CA to lead cross-functional network demand forecasting projects. You will plan requirements, manage schedules, and communicate with executives and engineers to balance priorities and deliver on OKRs.

You’ll drive autonomous planning, evaluate forecasting methods, and partner with product, data science, and planning teams to deliver insights and improvements to the forecasting model, supporting Google’s global network.