Leading global AI transformation and data governance initiatives at ZEISS while ensuring security and compliance. Managing cross-functional teams and driving innovation in AI technologies and cyber security.
Responsibilities
Leading the global corporate function that ensures ZEISS can harness the transformative power of data and AI technologies while safeguarding its critical assets
Aligning data and AI initiatives with the organization’s strategic goals, fostering innovation, and ensuring security remains a priority
Setting the strategic direction and target operating models for secure data and AI transformation across ZEISS
Taking ownership of AI governance, requirements and enablement to ensure secure, ethical and compliant AI technology use
Ensuring ZEISS is protected from evolving AI-specific cyber threats throughout the lifecycle of AI models
Driving innovation to enhance cyber security posture through AI-powered technologies
Engaging in research partnerships to explore emerging threats and piloting next-generation AI technologies
Providing clear direction, mentorship, and opportunities for professional growth within a global team
Requirements
Advanced degree in Data Science, Information Technology, Artificial Intelligence, Computer Science, Information Security, Data Engineering, Machine Learning, or a related discipline
Proven professional experience across data platforms, ML/AI systems, or information security with related senior or leadership roles across global organizations
One or more relevant and current information security certifications from an established organization (such as CISSP, CISM, NIST AI RMF Practitioner or other related)
Proven experience in defining and executing enterprise-wide strategies for secure and compliant AI adoption to drive a secure digital transformation
Demonstrated expertise with AI governance frameworks, standards, regulatory requirements (e.g., EU AI Act), and ethical AI principles
Hands-on expertise with integration of security-by-design along the AI/ML solution lifecycle, including defending against AI-specific threats such as prompt injection, model extraction, data poisoning, and adversarial attacks
Sound understanding of security architecture, GRC, cyber defence, and security engineering to effectively drive AI governance across the organization and align AI-enhance with the broader cyber security strategy
Demonstrated innovation-driven mindset and ability to explore, evaluate, and pilot next-generation AI technologies, including agentic AI and advanced ML methods
Strong expertise in establishing enterprise data governance frameworks that ensure data quality, lineage, integrity, and security for AI systems
Experience in functionally and disciplinarily leading international and global teams within a business or technical environment, demonstrating a proven track record of strategic planning, team development, and operational excellence.
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