AI Strategy and Operations Lead, Google Cloud

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in management consulting, strategy, operations, technology, or a similar field.
• Experience creating insights using SQL and other problem-solving tools to present findings and recommendations.

Preferred qualifications:

• Experience in planning, consulting, investment banking, or similar data-driven business roles.
• Experience with SQL and other database, scripting, or business intelligence tools.
• Ability to influence business leadership with investigative skills, combined with business judgment.
• Excellent communication skills, with the ability to construct simple and impactful messages from complex analysis.

About the job

Our team is focused on building and landing our Global Artificial Intelligence Go-to-Market strategy. We accomplish this by working with: our product team, our salesforce, and global and regional operations. In addition to building the upfront Go-to-Market Strategy, we have a deep understanding of the end-to-end customer journey and work with our sellers to build enablement and solutions. Additionally, we work closely with the product team to shape our direction based on customer feedback. Finally, we work closely with the broader operations organization to ensure all the processes are working together.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.
The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Influence executive-level decision making through deep, scalable, and actionable analytical insights into core business decisions such as prioritization of growth opportunities.
• Structure and communicate, ambiguous, and testing business issues to advise the Google Cloud Sales leadership team.
• Build reports, dashboards, models, and tools to analyze, report, and present operations-related data that is associated with customer pipeline, product usage, bookings forecasting, and business productivity.
• Provide insights to the business through analysis of bookings, activity, and product data to drive greater efficiency and effectiveness of our sales teams.
• Lead planning, goals setting, territory design, expansion plans, and managing the rhythm of the business activities, such as periodical business reviews, forecast calls, staffing meetings and other cadenced reporting and metrics.

Influence executive-level decision making through deep, scalable, and actionable analytical insights into core business decisions such as prioritization of growth opportunities.Influence executive-level decision making through deep, scalable, and actionable analytical insights into core business decisions such as prioritization of growth opportunities.Provide insights to the business through analysis of bookings, activity, and product data to drive greater efficiency and effectiveness of our sales teams.Provide insights to the business through analysis of bookings, activity, and product data to drive greater efficiency and effectiveness of our sales teams.