VP Analyst – Cloud-Based AI & Infrastructure Services
Gartner
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteJob Level
Lead
Tech Stack
Cloud
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processinggenerative AIagentic AIcloud operating modelsqualitative research methodologyquantitative research methodologydata collection methodsanalytical thinkingdata analysis
Soft skills
synthesizing complex informationtranslating technical conceptscollaborationcommunicationcritical thinking