Forecast Operations Manager, Google Cloud

Minimum qualifications:

• Bachelor's degree in Business Administration, Computer Science, Economics, Finance, Mathematics, Statistics, a related field, or equivalent practical experience.
• 8 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 6 years of experience with an advanced degree.
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g., Python).
• Experience building and maintaining relationships with stakeholders, including executive leadership.

Preferred qualifications:

• Master’s degree in Business Administration (MBA) or equivalent practical experience.
• Experience with cloud computing technologies.
• Familiarity with machine learning and other advanced forecasting techniques.
• Ability to influence decision-making through data-driven insights and effective communication.
• Excellent problem-solving and communication skills with demonstrated attention to detail.

About the job

As a Forecast Operations Manager, you will manage the forecast operations that inform critical business decisions and foster alignment across key stakeholders.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Build and nurture relationships with key stakeholders across Sales, Marketing, Finance, Product, and Executive leadership. Communicate forecast updates, gather feedback, and ensure alignment on assumptions and methodologies.
• Analyze large datasets to identify trends, patterns, and anomalies impacting forecasting accuracy. Distill these insights into clear, actionable recommendations that resonate with different stakeholders.
• Track forecast accuracy against actual results, identify root causes of variances, and collaborate with stakeholders to implement corrective actions.
• Identify opportunities to streamline forecasting processes, leverage automation, and improve efficiency, while considering stakeholder feedback and ensuring minimal disruption.
• Design, develop, and maintain forecasting models that accurately predict Google Cloud's business performance, incorporating feedback and input from diverse stakeholders.