Minimum qualifications:
- Bachelor's degree in Business, a quantitative field, or equivalent practical experience.
- 10 years of experience in customer-facing roles, including interfacing with executive stakeholders and managing and delivering IT technical implementations, transformation programs, or other initiatives.
- 8 years in vendor sourcing, vendor selection, vendor operations, negotiations and agreement with 3 years in a lead role.
- Experience in crowd sourced operations.
- Ability to work non-standard hours and differing work rotations/shifts.
- Experience in operational or sourcing capacity for Machine Learning data operations, content review, annotations, and ratings.
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About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
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
- Lead the development and execution of the vendor strategy, sourcing, selection, negotiation and agreements for Machine Learning (ML) Data compute operations including human evals and ratings.
- Develop scalable cost optimal operating models and service capabilities including gig based delivery models for both time bound research projects as well as ongoing evals for ML data operations.
- Manage the overall relationship with the CoreML business and engineering teams as well as engage and collaborate with cross functional teams across Google to drive results.
- Drive supplier performance around service quality and value addition through structured governance and performance measurement mechanisms.
- Identify, prioritize, deliver scalable solutions and run strategic/operational initiatives across the globe to scale, transform services while measuring the business impact of those solutions in order to provide insights to leadership and inform further innovation.