Strategic Forecasting Program Lead

Google; United States; On-site; USD 136,000 - 196,000; Full time

Job summary

Google in Sunnyvale, CA, and Boulder, CO is seeking a Mid-level Forecasting Program Manager for gUP to lead end-to-end forecasting, coordinate with Analytics, and align with cross-functional partners across offices and time zones.

The role emphasizes managing metadata configurations, validating inputs for launches and PSM adjustments, and driving process improvements with the Spend team. It involves collaboration with SDMs to lead forecast refreshes and maintain forecasting excellence.

Qualifications

• Minimum 7 years in program management, financial forecasting, or workforce planning.
• Minimum 7 years analyzing data and generating business insights.
• Minimum 7 years developing operational process solutions with cross-functional teams.

Responsibilities

• Manage end-to-end forecasting for gUP in partnership with Analytics, including strategic oversight, metadata configurations, and workdriver/engineers validation.
• Validate stakeholder inputs such as new product launches and PSM adjustments.
• Lead forecast refresh exercises, coordinating updates with SDMs and analyzing recap variance metrics.
• Partner with Spend team Points of Contacts (POCs) to improve accuracy, conduct PO forecast audits, and lead spend-related training streams.
• Provide strategic direction and continuous improvement for overall forecasting processes.

Skills

Program management

Financial forecasting

Workforce planning

Data analysis

Business insights

Operational process improvements

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

MBA or Master's degree in a related field

CSCMP certification

Job description

Google in Sunnyvale, CA, and Boulder, CO is seeking a Mid-level Forecasting Program Manager for gUP to lead end-to-end forecasting, coordinate with Analytics, and align with cross-functional partners across offices and time zones.

The role emphasizes managing metadata configurations, validating inputs for launches and PSM adjustments, and driving process improvements with the Spend team. It involves collaboration with SDMs to lead forecast refreshes and maintain forecasting excellence.