Director, Analyst, Data Management for AI and Agentic Use Cases(Remote US)

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 Director Analyst possesses a keen eye for identifying problems and creating solutions within the market they serve. They use their knowledge to help clients make better decisions, solve complex issues, and execute new practices that propel clients’ businesses toward key objectives.

A Director Analyst publishes these insights as pragmatic and/or provocative research. Additionally, they reinforce Gartner’s value every day by engaging clients via virtual meetings, sales support, Gartner conferences and industry events.

Candidates should have real world implementation experience of how data management enables AI use cases & agents, and how data agents are utilized in modern data architectures to support operational productivity.

The candidate will focus on written and customer-facing deliverables to support Data & Analytics Leaders who face the challenges of improving/establishing Data Management Initiatives.

What you will need:

• Experience with data enablement of AI and agentic use cases, have delivered live projects and have an understanding of the challenges, use cases and technology.
• Bachelor’s Degree, Advanced Professional Qualification, or 10+ years direct experience in a field related to Data Management and AI.
• Knowledge of core vendors in Data Management that enable data agents, and those that support AI and agentic readiness of data.
• Understanding of core data management capabilities that enable and support AI and agentic use cases, such as
• Modern data management architectures (data fabric, data mesh, lakehouses)
• Knowledge graphs and their support for semantic modeling and ontology development
• Vector and Graph data stores (in their support for delivering context for AI)
• Data agents that support data engineering productivity
• Access to and integration of unstructured data for AI and context delivery.
• Techniques to support enabling AI-ready and agentic ready data.
• Familiarity with Chief Data and Analytics Officer (CDAO) initiatives, goals, objectives, and business value ROI.
• Ability to confidently speak to C-Level Executives and provide actionable insights or explain concepts targeted and relatable to their role.
• Strong organizational skills: ability to work under tight deadlines and produce high quality deliverables.
• Demonstrate excellence in research and writing ability.
• 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).

What you will do:

• Deliver high-quality actionable advice through a variety of media.
• Write provocative and pragmatic research that is clear and actionable.
• Provide high quality and timely research content peer review.
• Create and deliver presentations for webinars, onsite engagements, and Gartner conferences.
• Track vendors, market trends and emerging practices to remain ahead of the curve within these areas, and adjacent spaces (e.g., digital transformation, culture change, and quality practices).
• Deliver outstanding sales support to retain and grow the Gartner business.
• Build credibility as an industry expert to represent Gartner research, methodology and strategy.
• Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the research community.
• Identify research process improvements or develop new processes that help the team and Research & Advisory provide excellent service delivery.
• Be a mentor and a coach by supporting more junior team members.

Who you are:

• You came from a Data Management background and may have been a hands-on practitioner in the past but as your career progressed you may have transitioned into a leadership role, where you started leading teams or teams of teams.
• You understand the bigger picture and the full lifecycle of data where considerations are made in data management platforms, data integration, data quality and metadata management solutions, relating to enabling data for AI use cases.
• You are proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing an…