Sr Director Analyst, AI Data Security and Data Management; Emerging Technology and Trends; Remo

About The Role

Gartner Analysts are industry thought leaders who create must-have insights, market predictions and best practices for a broad range of world-leading organizations. A Senior Director serves as a leader within Gartner's Business and Technology Insights (BTI) group, establishing oneself as a credible voice within their designated market at local, regional and global levels. Utilizing exceptional research and analytical skills, a Senior Director plays a significant role in producing pragmatic and provocative insights which Gartner clients consume and apply to propel their business toward key objectives.

They are a trusted source of advice for clients, reinforcing Gartner's value every day by engaging them via in-person meetings, virtual meetings, sales support visits and Gartner conferences to discuss complex client challenges and offer appropriate recommendations.

At this level, you are primarily responsible for leading, and advising Gartner clients by researching Emerging Technology and Trends (ETT) within cybersecurity markets; specifically the AI data security and AI ecosystem data management market. You will create and deliver both strategic and tactical advice and research content which guides Technology CEOs, Product and Innovation Leaders, Product Managers, and Marketing professionals on critical future security technologies and trends through written research reports, presentations, teleconference inquiries, and briefings.

You will mentor and guide your research and elaborate on the evolution and impacts of those emerging technologies in the security market. During a research project, you will work closely with adjacent covering analysts, case-based researchers, and service delivery associates across Gartner to deliver a world-class experience for our technology provider membership subscriptions.

Please note this is an individual contributor role NOT a leadership role with direct reports.

• Primarily develop thought-leading advice on the emergence, adoption and disruptions that emerging technologies bring to bear on the AI data security and AI ecosystem data management across the world.
• Work with Gartner clients and their teams while reflecting the research in meeting conversations, and as a speaker, either face-to-face, or via video conference.
• Grow the ETT team's network of thought leaders (academics, investors, etc.), startups, and vendors that the research team can draw on for interviews, case-based research and emergent disruptive security technologies and trends.
• Provide tailored inquiries and briefings for Gartner clients on Emerging Technologies in the Security Markets; specifically AI data security and AI ecosystem data management.
• Ensure integrity of research & analysis of the team.

• Bachelor's degree;
  Graduate degree preferred or equivalent experience in cybersecurity field with specific relevance to AI data security and AI ecosystem data management.
• A minimum of 12 years of relevant experience.
• Subject Matter Expertise:
  Must be familiar with the AI data security and AI ecosystem data management market as well as typical service offerings, best practices, commonly used technologies, and vendors for client engagements and for research related to:
• Cloud and on-premises data visibility, classification, monitoring and protection.
• Data management for AI model training, management, learning and governance.
• Data security for data at rest, in-flight, and use – encryption, tokenization.
• AI security platform architecture as it relates to data management.
• Experience with (or able to quickly learn) tools and data sources such as Pitchbook, CapIQ, Tech Crunch, Bloomberg, and other forecast/financial data.
• Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders.
• 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.
• Proficient in analyzing and synthesizing data;…