Minimum qualifications:

Preferred qualifications:

• MBA or other relevant advanced degree.
  
• 10 years of experience in management consulting, corporate strategy, or business intelligence.
• Experience leveraging problem-solving skills (e.g., financial modeling, Google Sheets, SQL, Looker, etc.) to problem solve, influence business leadership, measure outcomes, and evolve recommendations based on results.
• Experience tailoring and delivering compelling reporting and presentations by audience, asking questions, and leading conversations that drive results and efficiencies.
• Experience collaborating with cross-functional teams and influencing without authority to drive operational excellence, successful delivery of priority initiatives, process improvements, and change management.
• Knowledge of cloud technologies, products, market, partner ecosystem and channels.

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in management consulting, internal corporate strategy, sales operations, or analytics in a technology company.
• Experience with data engineering, analysis, visualization, and SQL.
• Experience managing rhythm of business activities, such as annual business planning, headcount management, running business reviews, or goal setting.

About the job

The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. The Partner Ecosystem and Channels organization is responsible for driving the strategy and execution of Google Cloud's partner ecosystem to enable rapid customer acquisition and revenue growth.

Responsibilities

• Act as a trusted advisor to the VP of Global Partner Ecosystem and Channels, developing go-to-market strategies, solving ambiguous business issues, and supporting organizational priorities.
• Influence executive-level decision-making around core business decisions by implementing communication frameworks and dashboards that break down information silos and ensure stakeholder visibility into ecosystem health.
• Architect data pipelines to create a single, reliable source of truth for key performance indicators (KPIs) across the partner organization, while designing the foundational data layers required to support future AI and machine learning initiatives.
• Write production-grade, expert-level SQL to bridge the gap between raw data and insights.
• Execute data-driven projects focused on growth drivers, performance management, and product strategy, managing the "run of business” (i.e. dashboards, reporting and automation initiatives).