VP Analyst - Cloud- AI & Infrastructure Services; Remote: Canada​/Europe

About the role

This individual will work remotely with a global team and needs the ability to support C-level clients who themselves are global is key.

We are seeking a seasoned technology business leader with specialized experience in cloud operating models and the role of cloud in supporting AI solutions. This role will serve as an authoritative voice in analyzing market trends, forecasting industry developments, and providing actionable insights to clients navigating the rapidly evolving AI landscape for Cloud Services. The ideal candidate will combine deep technical knowledge of AI technologies in the cloud, with strong business acumen and exceptional research capabilities.

Experience may have been with a major hyperscaler, or an IT service provider managing AI solutions on a hyperscaler (cloud) infrastructure.

Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A VP serves as a leader within Gartner and within their industry, making them a trusted source of advice for clients. As the market expert, a VP not only produces innovative, pragmatic and provocative research content, but also serves as a decision-maker and leader of cross team and cross practice research initiatives.

They also engage with clients directly through virtual and in-person interactions, meetings, conferences, and industry events. Through these engagements, they challenge clients to reframe their thinking across key initiatives, interpret contextual realities, and propose new ways to obtain data in order to diagnose and/or solve complex problems and improve client performance.

Research and Analysis

• 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

Content Development and Thought Leadership

• Create compelling, high-quality research reports and thought leadership content on AI technologies and their business applications for hyperscalers.
• Develop frameworks, methodologies, and best practices to help organizations successfully implement cloud and AI solutions
• Ideate, scope, and produce forward-looking research that addresses critical challenges faced by business and technology leaders
• Prepare and deliver tailored briefings for clients that translate complex technical concepts into actionable business insights
• Contribute to research agenda development by identifying emerging areas of interest in AI
• Collaborate with Gartner colleagues in the development of research positions related to AI and cloud IT and business services

Client Engagement and Advisory

• Serve as a trusted advisor to C-level clients on AI strategy, implementation approaches, and vendor selection for cloud models.
• Conduct briefings and advisory sessions to help C-level clients navigate complex AI decisions and investments
• Present research findings at industry events, webinars, and client conferences
• Build and maintain relationships with industry thought leaders, vendors, and practitioners in the AI space
• Support sales teams by providing expert insights during C-level client conversations

What you will need

Technical Knowledge applicable to Cloud Services

• 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

Research And Analytical Skills

• 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
• Critical thinking skills to question assumptions and validate findings

Business and Industry Knowledge

• Comprehensive 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
• Understanding of the impact of AI on enterprise cloud services procurement and decision-making…