Corporate Performance Lead, Google Cloud
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026. Google scores B on the Alion truth index.
About the job
The GTM Performance, Analytics and Cloud Excellence (PACE) team, a vital part of the Customer Experience organization, is dedicated to accelerating Google Cloud business through a data-driven and field-centric strategy. This involves guiding and monitoring sales plays and consumption activities across the entire Cloud business, empowering both field teams and leadership with data-informed insights. Our primary objective is to foster a strong Cloud consumption culture within the Go-to-Market (GTM) organization.
In this role, you will be responsible for driving action-oriented insights for our scaled growth and team, around our solutions, sales plays, lead generation efforts, pipeline, and ultimate business growth consumption. You will bring clarity, insightful interpretation, and actionable learnings, which create impact and value for the entire Cloud Sales organization. You will focus on analytics and insight support for our SaaS renewals team as well as a broader global corporate segment sales team.
You will showcase thought leadership by providing executive-ready insights, frameworks, and identifying new areas of analysis, partnering closely with practice, specialist and geography leads in the Go-To-Market organization. You will drive cross-functional coordination across multiple levels of Google Cloud, shaping, influencing, and coordinating high-quality inputs from teams within the Go-To-Market organization, and external local and global cross-functional teams.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive analysis specific to business of our Software as a Service products through our renewal land and expand motions (both direct and through partner) and drive business intelligence implementation to land reporting and execution frameworks at scale.
- Support key rhythms across the scaled segments with a focus on our corporate business (support steering committee meetings, practice leads, business development representatives).
- Support prioritization and targeting of business initiatives through a data-driven approach to identify size-of-the-prize and Google’s ability to win.
- Identify, parse, and share executive-level insights, supporting key business partners through both ad-hoc requests and regular cadences (forecasts, quarterly business reviews, etc.) related to product and segment performance.
- Land global thought-leadership on business health and performance, metrics definitions, dashboards and scaled insights, and tooling.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience in go-to-market strategy, sales operations, strategy and operations, management consulting, finance, or program management.
- Experience managing business activities, such as business planning, running business reviews, or goal setting.
- Experience working with executive-level clients or stakeholders to present data analysis and generate data-driven insights.
- Experience with investigative problem-solving and using spreadsheets to transform data into business insights.
Preferred qualifications:
- Master's degree or MBA.
- Experience in management consulting, finance, or business strategy function.
- Experience with cloud subscription and consumption.
- Familiarity with data analytics tools (e.g., SQL, BI platforms, etc.), and collaborating with other business analysts and data scientists.
- Track record of high productivity and meeting deadlines, with a willingness to be direct and to take responsibility.
- Excellent relationship building skills with sales leaders and cross-functional stakeholders (e.g., BI, partners, finance, sales operations, etc.).