Gartner Director Analyst advising enterprise leaders on agentic data management. Publishing research, presenting insights, and supporting clients’ data and analytics initiatives.
Responsibilities
Deliver high-quality actionable advice through a variety of media
Write clear, actionable provocative and pragmatic research
Provide timely, high-quality research content peer review
Create and deliver presentations for webinars, onsite engagements, and Gartner conferences
Track vendors, market trends, emerging practices, and adjacent spaces
Deliver sales support to retain and grow Gartner’s business
Build credibility as an industry expert representing Gartner research, methodology, and strategy
Participate in innovation, ideation, and research discussions
Collaborate with peers in the research community
Identify research process improvements and develop new service-delivery processes
Mentor and coach more junior team members
Engage clients through virtual meetings, sales support, conferences, and industry events
Requirements
Experience with Agentic Data Management, including delivered live projects and understanding of challenges, use cases, and technology
Real-world implementation experience of Agentic Data Management; proof-of-concept-only experience is insufficient
Bachelor's Degree, Advanced Professional Qualification, or 10+ years of direct experience in a field related to Data and Analytics
Knowledge of core Agentic Data Management vendors, products, and capabilities
Familiarity with Chief Data and Analytics Officer initiatives, goals, objectives, and business-value ROI
Ability to speak confidently to C-level executives and provide actionable, role-relevant insights
Strong organizational skills and ability to work under tight deadlines while producing high-quality deliverables
Excellence in research and writing
Strong written and verbal proficiency, analytical, and presentation skills
Ability to engage clients and respond effectively to questions
Ability to represent Gartner's research methodology and strategies effectively at all levels
Willingness and ability to travel up to 25% where applicable
Data & Analytics background, potentially including prior hands-on practitioner experience and leadership of teams or teams of teams
Understanding of the full data lifecycle, including governance, quality, integration, reusability, and management
Proficiency in analyzing and synthesizing data and applying patterns and frameworks to client challenges
Ability to explain complex concepts concisely and simply
Subject-matter expertise and comfort presenting at large- and small-scale speaking engagements
Executive presence and ability to establish credibility with executives and stakeholders
Benefits
World-class benefits
Highly competitive compensation
Disproportionate rewards for top performers
Flexible hybrid work environment, with virtual work when productive and in-person collaboration in a vibrant community
Professional growth opportunities
Inclusive workplace and equal employment opportunities
Reasonable accommodations for qualified individuals with disabilities
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