Saakshi Chinda
AI Infrastructure Finance Leader at Google Cloud | ex - Microsoft | Duke MBA
- Role
- Head of Ai Infrastructure Finance - Google Cloud at Google
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Saakshi Chinda
As Head of AI Infrastructure Finance at Google Cloud, I lead strategic financial initiatives to support AI infrastructure projects, leveraging over 15 years of experience in analytics, pricing, and cloud service monetization. My focus is on long-range planning, financial analysis, and developing go-to-market strategies to drive commercialization and align financial objectives with market demands. With expertise in AI infrastructure and negotiating large-scale deals, I work collaboratively with cross-functional teams to deliver actionable insights and enable data-driven decisions. Dedicated to innovation and growth, I am committed to advancing the strategic goals of Google Cloud and facilitating impactful outcomes in the cloud-based AI space.
Experience
Head of Ai Infrastructure Finance - Google Cloud
Dec 2021 — Present · Kirkland, WA, US
Leading the AI Infrastructure Finance team at Google Cloud, driving strategic financial initiatives. • Negotiated complex AI Infrastructure deals, ensuring alignment between financial objectives and market demands.• Led long-range planning and financial analysis for AI Infrastructure projects to align with business goals.• Developed go-to-market strategies to enhance the commercialization of Google Cloud offerings.
Education
Duke University - The Fuqua School of Business
MBA, Market Analysis and Strategy
Bharati Vidyapeeth
B.Tech, Computer Science
Skills
- Project Management
- Strategy
- Financial Modeling
- Sales Operations
- Financial Analysis
- Product Management
- Business Intelligence
- Data Mining
- Management
- Data Analysis
- Analysis
- Predictive Analytics
- Business Objects
- Customer Analysis
- Business Analysis
- Pricing
- Analytics
- Cross-Functional Team Leadership
- Forecasting
- Market Research
- Business Development
- Competitive Analysis
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