VP Analyst – Cloud-Based AI & Infrastructure Services
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Job Description
VP Analyst role focusing on AI technologies and cloud services for Gartner clients. Conducting research, developing reports, and advising C-level executives in a remote capacity.
Responsibilities:
- Conduct in-depth qualitative and quantitative research on emerging AI technologies and their application in Cloud IT and business services
- Design and implement comprehensive market research studies to identify trends, competitive dynamics, and growth opportunities in the AI sector
- Develop market forecasts and predictions about AI adoption, implementation challenges, and potential business impacts
- Analyze complex datasets to extract meaningful insights into AI market trends, competitor movements, and customer needs
- Monitor and evaluate the competitive landscape across cloud and AI vendors, solutions, and service providers
- Create compelling, high-quality research reports and thought leadership content on AI technologies and their business applications for hyperscalers
- Prepare and deliver tailored briefings for clients that translate complex technical concepts into actionable business insights
- Collaborate with Gartner colleagues in the development of research positions related to AI and cloud IT and business services
Requirements:
- Deep understanding of AI technologies including machine learning, natural language processing, and generative AI
- Deep understanding of agentic AI, including the application of AI technology to business processes and other enterprise AI solutions
- Deep understanding of cloud operating models and the role of cloud in supporting AI solutions at the platform and infrastructure layer
- Strong qualitative and quantitative research methodology expertise
- Advanced analytical thinking and ability to synthesize complex information into clear insights
- Experience designing research frameworks and data collection methods
- Ability to identify patterns, trends, and correlations in large datasets
- Understanding of IT and business (cloud)services markets
- Knowledge of AI implementation challenges across different industries for Cloud Services
- Understanding of regional differences in AI capabilities, adoption trends, regulatory requirements, etc for cloud models
- Awareness of ethical, regulatory, and governance issues surrounding AI deployment
- Bachelor's degree or equivalent experience; Master's degree or PhD preferred in fields such as Business, Computer Science, Data Science, Economics, or related disciplines
Benefits:
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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