Program Manager: Forecasting & Cross‑Functional Delivery

Google; Juneau (AK); Remote; USD 87,000 - 131,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Google in Juneau, USA is seeking a Program Manager to lead complex, multi-disciplinary projects from inception to completion. You will plan requirements, manage schedules, identify risks, and coordinate across stakeholders and locations.

Responsibilities include expanding forecast models using Plex, SQL, and Python, developing advanced forecasting methods, maintaining dashboards, and driving data-driven improvements in planning processes.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2+ years of project management experience.
• Experience in supply chain planning and forecasting.
• Proficiency with SQL, Python and related forecasting tools.

Responsibilities

• Expand forecast models for community infrastructure demand in partnership with technical teams.
• Develop and apply advanced forecasting methods to create accurate forecasts and inventory plans.
• Partner with stakeholders and cross‑functional teams to identify gaps and improve planning processes.
• Maintain dashboards and tools to track metrics such as accuracy and variance, driving improvements over time.
• Lead data‑driven initiatives with software development teams to define requirements and priorities.

Skills

Forecasting

Cross-functional collaboration

Data analysis

Education

Bachelor’s degree or equivalent

2+ years project management experience

Supply chain planning experience

SQL & Python forecasting proficiency

Tools

SQL

Python

Job description

Google in Juneau, USA is seeking a Program Manager to lead complex, multi-disciplinary projects from inception to completion. You will plan requirements, manage schedules, identify risks, and coordinate across stakeholders and locations.

Responsibilities include expanding forecast models using Plex, SQL, and Python, developing advanced forecasting methods, maintaining dashboards, and driving data-driven improvements in planning processes.