Sr Director Analyst - AI Data Security and Data Management in Sachseln, Obwalden at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Director Analyst - AI Data Security and Data Management based in Switzerland.

This is a senior individual contributor role at the intersection of cybersecurity, artificial intelligence, and data management. You will become a trusted expert on emerging technologies shaping AI data security and the broader AI data ecosystem. Your research and insights will help technology executives, product leaders, innovation teams, and marketing professionals navigate rapidly evolving security markets. You will combine deep subject-matter expertise with rigorous research, analysis, writing, and client advisory skills. The role offers significant visibility through executive briefings, written research, presentations, conferences, and direct client engagements. You will also collaborate with global research teams and external thought leaders to shape forward-looking perspectives on technologies that are redefining enterprise security.

• 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.

• 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.

• 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.