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The Sales Executive role at Gartner involves engaging with C-level stakeholders to drive new business, managing the complete sales process, and achieving revenue targets, particularly in the HR sector for large enterprises.

Drive new client acquisition for Large Enterprise supply chain prospects, own the full sales cycle from prospecting to close, build and manage pipeline and forecasts, engage C-level executives, meet quota, and transition clients to account management.

Leads research and thought leadership on AI-driven HR strategy, transformation, governance, workflow redesign, regulatory environments, and value realization. Produces actionable insights across written, visual, video, and presentation formats; advises CHROs and senior HR leaders; analyzes market trends, vendors, technologies, and client challenges; supports sales and conferences; mentors analysts; and improves research processes.

Leads research and thought leadership on corporate strategy, financial analysis, applied economics, and technology-enabled transformation. Develops strategic frameworks, investment analyses, business cases, and market insights for CIOs and executives. Advises clients on prioritizing transformational technology investments, including AI, while evaluating value, risk, scenarios, and shareholder impact. Presents at conferences and client meetings, supports sales, mentors analysts, and contributes to research innovation.

Leads research and thought leadership on procurement technology, CLM, S2P, procurement orchestration, and AI-enabled procurement. Advises senior executives on digital transformation, technology investments, vendor selection, implementation, governance, and adoption. Evaluates procurement technology providers, publishes market research, develops methodologies, and presents findings through conferences, webinars, and executive discussions.

Leads client-facing research and advisory work on IT procurement strategies, technology adoption, AI-enabled procurement, category management, sourcing, contracts, supplier relationships, and vendor risk. Develops market insights, actionable recommendations, presentations, and thought leadership for Gartner clients and events. Supports sales, collaborates with analysts, reviews content, improves research processes, and advises executives on procurement transformation.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Leads Gartner’s AI Infrastructure investment research practice, producing market insights, predictions, strategic investment frameworks, and client advice across semiconductors, AI hardware, data centres, and compute. The role requires translating complex technical architectures into commercial and investment insights, presenting to executives and institutional investors, supporting sales and conferences, mentoring analysts, and shaping research agendas.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Develops Gartner research and thought leadership on the economic impact of AI and technology disruption. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and business context into executive-level insights. Advises clients, presents at conferences and media engagements, supports business development, reviews research, and collaborates with modeling, data science, and data engineering teams. The role also contributes to research strategy, mentors colleagues, and builds authority in technology market economics.