Senior Director Analyst – AI Data Security, Data Management, Emerging Technology, Trends

This is a fully remote position, open to applicants in United Kingdom, +4 more states.

📋 Description

• Lead and guide Gartner clients by exploring emerging technologies and trends in the cybersecurity sector, focusing on AI data security and AI ecosystem data management.

• Develop and present strategic and tactical insights as well as research materials for Technology CEOs, Product and Innovation Leaders, Product Managers, and Marketing professionals.

• Create comprehensive written research reports, presentations, teleconference inquiries, and briefings.

• Mentor and oversee research on the evolution and implications of emerging technologies within the security market.

• Generate thought-provoking advice regarding the emergence, adoption, and disruptions of new technologies globally.

• Engage with Gartner clients and their teams during meetings, serving as a speaker both in-person and through videoconferencing.

• Expand the ETT team’s network of thought leaders, startups, and vendors for interviews and case-study research.

• Offer customized inquiries and briefings for Gartner clients on emerging technologies in security markets.

• Maintain the integrity of the team's research and analytical efforts.

• Collaborate with fellow analysts, case-based researchers, and service delivery associates throughout Gartner.

• This is an individual contributor position without direct reports.

⛳️ Requirements

• Bachelor’s degree; a graduate degree is preferred or equivalent experience in the cybersecurity field with a specific focus on AI data security and AI ecosystem data management.

• At least 12 years of relevant experience.

• Expertise in AI data security and AI ecosystem data management markets.

• Familiarity with cloud and on-premises data visibility, classification, monitoring, and protection.

• Understanding of data management for AI model training, management, learning, and governance.

• Knowledge of data security practices for data at rest, in transit, and in use, including encryption and tokenization techniques.

• Familiarity with AI security platform architecture concerning data management.

• Experience or the capability to rapidly learn tools such as Pitchbook, CapIQ, TechCrunch, Bloomberg, and other financial data sources.

• Executive presence and the ability to gain credibility with executives and stakeholders.

• Strong organizational skills with the ability to perform under tight deadlines.

• Excellence in research and writing capabilities.

• Proficient in written and verbal communication, analytical thinking, and presentation skills.

• Ability to engage clients and address their inquiries effectively.

• Skilled in analyzing and synthesizing data while applying relevant patterns and frameworks.

• Capable of explaining complex concepts clearly and succinctly.

• Comfortable presenting at events of various scales.

• Strong business and financial understanding.

• In-depth knowledge of the global competitive landscape related to the subject matter.

• Ability to work independently while collaborating within multicultural global teams.

• Agility in learning and navigating highly matrixed environments.

• Capacity to represent Gartner's research methodologies and strategies effectively at all levels.

• Willingness and ability to travel up to 25% as needed.

🏝️ Benefits

• World-class benefits.

• Highly competitive compensation.

• Exceptional rewards for top performers.

• Hybrid work environment offering flexibility to work virtually when productive and meet colleagues in person.

• Opportunities for professional growth.

• Inclusive teams fostering a collaborative work environment.

• Reasonable accommodations for qualified individuals with disabilities.