Sr Director Analyst - AI Data Security and Data Management

Accountabilities:

• Develop thought-leading research and strategic advice on the emergence, adoption, evolution, and disruption of technologies across AI data security and AI ecosystem data management.
• Produce high-quality research reports, presentations, briefings, and other content that provides practical guidance to technology CEOs, product and innovation leaders, product managers, and marketing professionals.
• Advise clients directly through virtual and in-person meetings, teleconferences, inquiries, briefings, and speaking engagements, translating complex technology trends into actionable recommendations.
• Analyze emerging security technologies, market dynamics, competitive landscapes, vendor strategies, and adoption patterns to identify significant trends and implications.
• Research topics including cloud and on-premises data visibility, classification, monitoring and protection; AI model training and governance; data security across data at rest, in transit, and in use; encryption and tokenization; and AI security platform architecture.
• Build and maintain a strong network of academics, investors, startups, technology vendors, and other industry experts to support interviews, case-based research, and emerging technology analysis.
• Collaborate with adjacent analysts, researchers, and service delivery teams to develop integrated, high-quality research and client experiences.
• Ensure the rigor, integrity, consistency, and relevance of research methodologies, analysis, and conclusions.
• Analyze and synthesize quantitative and qualitative information, applying frameworks and patterns to develop and defend clear perspectives on complex client challenges.
• Present research and insights effectively to both small and large audiences, including senior executives and industry professionals.
• Represent established research methodologies and strategic perspectives effectively across client engagements and internal collaboration.
• Continuously monitor developments in AI, cybersecurity, data management, and related markets to maintain current and forward-looking expertise.
• Contribute to a collaborative global research environment while independently managing priorities, deadlines, and deliverables.

Requirements:

• Bachelor’s degree in a relevant discipline; a graduate degree or equivalent professional experience in cybersecurity, AI, data management, or a related field is preferred.
• Minimum 12 years of relevant professional experience, with substantial expertise in cybersecurity and specific relevance to AI data security and AI ecosystem data management.
• Deep subject-matter expertise across AI data security, AI data management, and the associated technology and vendor landscape.
• Strong understanding of cloud and on-premises data visibility, classification, monitoring, and protection technologies.
• Knowledge of data management for AI model training, management, learning, and governance.
• Strong understanding of data security for information at rest, in transit, and in use, including encryption and tokenization.
• Familiarity with AI security platform architecture and its relationship to data management.
• Experience using, or the ability to quickly learn, research and financial intelligence platforms such as PitchBook, CapIQ, TechCrunch, Bloomberg, and comparable data sources.
• Demonstrated executive presence and the ability to establish immediate credibility with senior executives and other stakeholders.
• Exceptional research, analytical, writing, synthesis, and presentation skills.
• Strong ability to explain highly technical and complex concepts clearly, concisely, and in an accessible manner.
• Excellent client-facing communication skills, including the ability to respond thoughtfully and confidently to challenging questions.
• Strong business and financial acumen, with an understanding of global competitive dynamics and market interactions.
• Comfortable presenting to both small groups and large-scale professional audiences.
• Highly organized, able to manage multiple priorities and deliver high-quality work under demanding deadlines.
• Strong independent working style combined with a collaborative mindset and the ability to contribute effectively within a multicultural, globally distributed organization.
• Learning agility and confidence navigating highly matrixed environments.
• Willingness and ability to travel up to approximately 25%, where applicable.

Benefits:

• Competitive compensation with additional rewards for strong performance.
• Hybrid and flexible working environment, with the ability to work virtually when appropriate.
• Supportive global working community with opportunities to collaborate across geographies and functions.
• Access to extensive research resources, technology, and subject-matter expertise in AI and cybersecurity.
• Opportunity to work at the forefront of the AI revolution and influence how organizations approach emerging technologies.
• Significant visibility with senior executives and technology leaders across global organizations.
• Opportunities to participate in conferences, executive briefings, client engagements, and thought-leadership initiatives.
• Strong professional development opportunities and access to ongoing learning.
• Inclusive, multicultural, and collaborative work environment.
• Opportunity to build a high-profile career as a recognized authority in AI data security and data management.
• Meaningful opportunity to shape research and advisory perspectives on technologies transforming enterprise security.