VP Analyst - AI & Application Services (Remote: North America)
About the roleThis VP Analyst will work remotely with a global team and support C-level Gartner clients who themselves are global. The role provides 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. The position also predicts and projects 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, and the ability to create differentiated services offerings, drive impact for clients, and achieve growth and profitability at the practice level. The ideal candidate will have broad industry experience across various application services and multiple application stacks (e.g., Oracle, SAP, Workday, Salesforce, ServiceNow, Microsoft, etc.). They should understand buyer needs and provider constraints in consulting, implementation, management, and support of enterprise application services.What you will doResearch and AnalysisConduct in-depth qualitative and quantitative research on services supporting the emerging AI capabilities across multiple application stacksDesign and implement market research studies to identify trends, competitive dynamics, and growth opportunities in the apps services sector due to AI capabilitiesDevelop market forecasts and predictions about AI and application services adoption, implementation challenges, and potential business impactsAnalyze complex datasets to extract insights into AI and app services market trends, competitor movements, and customer needsMonitor and evaluate the competitive landscape for service providers supporting application megavendors and AI application specialists across consulting, implementation, and managed servicesContent Development and Thought LeadershipCreate compelling, high-quality research reports and thought leadership content on AI application services and their implications for major IT service providersDevelop frameworks, methodologies, and best practices to help service providers industrialize their application services offeringsIdeate, scope, and produce forward-looking research addressing critical challenges for business and technology leadersPrepare and deliver tailored briefings for clients translating complex technical concepts into actionable business insightsContribute to research agenda development by identifying emerging areas of interest in AI services and application servicesCollaborate with Gartner colleagues in the development of research positions related to AI application servicesClient Engagement and AdvisoryServe as a trusted advisor to C-level clients on AI services strategy, implementation approaches, and ecosystem partners for deploymentConduct briefings and advisory sessions to help C-level clients navigate complex AI decisions and investmentsPresent research findings at industry events, webinars, and client conferencesBuild and maintain relationships with industry thought leaders, vendors, and practitioners in the AI spaceSupport sales teams by providing expert insights during C-level client conversationsWhat you will needTechnical Knowledge relevant to Application Services & AI ServicesDeep understanding of AI technologies including machine learning, natural language processing, and generative AI, as used in the application stack and service deliveryDeep understanding of agentic AI and its use to disintermediate other application and business processes in the end user operations stackDeep understanding of cloud operating models, the role of cloud in supporting AI applications, and the importance of the platform layer to application megavendor strategiesResearch and Analytical SkillsStrong qualitative and quantitative research methodology expertiseAdvanced analytical thinking and ability to synthesize complex information into clear insightsExperience designing research frameworks and data collection methodsAbility to identify patterns, trends, and correlations in large datasetsCritical thinking to question assumptions and validate findingsBusiness and Industry KnowledgeComprehensive understanding of IT services marketsKnowledge of AI application implementation challenges across different industries for Cloud ServicesUnderstanding of regional differences in AI capabilities, adoption trends, regulatory requirements for cloud modelsAwareness of ethical, regulatory, and governance issues surrounding AI deploymentUnderstanding of the impact of AI on enterprise cloud services procurement and decision-making processesAbility to translate services technical capabilities into business value propositionsCommunication and Presentation SkillsExceptional writing abilities with experience creating research reports and thought leadership contentStrong presentation skills and ability to communicate complex topics to non-technical audiencesExperience conducting interviews with industry experts and C-level General ManagersAbility to facilitate discussions with diverse stakeholder groupsClear communication of data-driven insights that drive business decisionsAbility to communicate with technology and business leadersEducation and Experience15+ years of relevant field or industry experienceBachelor's degree or equivalent; Master's or PhD preferred in fields such as Business, Computer Science, Data Science, Economics, or related disciplinesDemonstrated expertise in AI technologies and their business applicationsPrior experience at a research and advisory firm, consulting organization, or similar role valuedTrack record of producing high-quality research content and client-facing deliverablesPersonal AttributesIntellectual curiosity and passion for understanding emerging technologiesSelf-motivated with ability to work independently while contributing to team objectivesComfort with ambiguity and ability to navigate complex, evolving subject matterRemoteWho are we?At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries. We hire associates with the intellectual curiosity, energy and drive to make a difference. The bar is high, and so is the impact you can have here.What makes Gartner a great place to work?Our market potential offers opportunities to grow professionally and personally. We hire remarkable people who collaborate and win as a team. Our teams are inclusive and diverse. We invest in leaders who bring out the best in you and the company.What we offer includes world-class benefits, competitive compensation, and rewards for top performers. Our hybrid environment supports flexible, productive work arrangements, including virtual work and collaborative in-person experiences.Compensation and Equal OpportunityGartner believes in fair and equitable pay. A base salary range for this role is 194,000 USD - 234,000 USD, with variations based on education, training, experience, and location. In addition to base salary, employees may participate in an annual bonus plan or a role-based, uncapped sales incentive plan. We offer market-leading benefits, generous PTO, 401(k) match up to 7,200 USD per year, stock purchase options, and more.The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to protected status and to advance equal opportunity principles. Gartner is an Equal Opportunity Employer and provides accommodations for applicants with disabilities upon request by contacting Human Resources.Job Requisition ID: 108786Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy#J-18808-Ljbffr