VP Analyst - AI & Application Services (Remote: North America)

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. 

This VP Analyst will provide actionable insights to C-level Gartner clients who are General Managers, responsible for planning, creating, and managing Enterprise Application Services practices and offerings in both corporate and cloud environments. This role will also predict and project how application services market trends will impact end clients in their service solutions initiatives and decisions. 

The successful candidate will have a thought leading vision for how application services will evolve, and what Gartner's service provider clients in this market must do to succeed.  

We look for practical, operational and commercial experience creating and bringing to market services solutions, the creation of differentiated services offerings, driving impact for clients, as well as growth and profitability at the practice level.  

The ideal candidate will possess strong, broad industry experience across various application services  and multiple application stacks. They should have experience that could be applied across multiple application stacks (Oracle, SAP, Workday, Salesforce, ServiceNow, Microsoft, etc) not just a single stack.  They will understand buyer needs and provider constraints in consulting, implementation, management and support of enterprise application services. 

What you will do:  

Research and Analysis 

• Conduct in-depth qualitative and quantitative research on services supporting the emerging AI capabilities across multiple application stacks 

• Design and implement comprehensive market research studies to identify trends, competitive dynamics, and growth opportunities in the apps services sector as a result of the move to AI capabilities 

• Develop market forecasts and predictions about AI & application services adoption, implementation challenges, and potential business impacts 

• Analyze complex datasets to extract meaningful insights into AI & app services market trends, competitor movements, and customer needs 

• Monitor and evaluate the competitive landscape for service providers supporting application megavendors and AI application specialists, across the full range of services, from consulting, through implementation and managed services 

Content Development and Thought Leadership 

• Create compelling, high-quality research reports and thought leadership content on AI application services and their implications for major IT service providers. 

• Develop frameworks, methodologies, and best practices to help service providers successfully industrialize their application services of