Vice President, Enterprise Analytics

About the Company: Industry-leading provider of AI-powered cyber security solutions Industry Computer & Network Security Type Public Company Founded 2013 Employees 1001-5000 Categories Information Technology & Services Technology Security Artificial Intelligence Cyber Security Information Technology Machine Learning Network Security Specialtiescyber securitycyber defenseinformation securityintelligenceinformation technologymachine learningartificial intelligenceand ransomware protection Business Classifications EnterpriseSAASB2BAbout the Role The Company is in search of a Vice President, Enterprise Analytics to spearhead the establishment and leadership of the enterprise analytics function. The successful candidate will be responsible for defining and maintaining the integrity of key business metrics, developing self-service analytics capabilities, and providing executive-level insights to drive strategic decision-making. This role demands a strategic leader with a proven track record in enterprise analytics, business intelligence, and data analytics, particularly within a SaaS or subscription-based business model. The VP will be tasked with owning the definition, calculation, and governance of critical business metrics, as well as building and leading a high-performing team of data and analytics professionals. Collaboration with executive stakeholders across various teams is essential to ensure alignment around business performance and operational effectiveness. Applicants for the Vice President, Enterprise Analytics position at the company should possess significant leadership experience in a related function, with a strong background in SaaS metrics and enterprise business systems. The role requires expertise in modern AI-enabled analytics practices, including the application of AI and agentic technologies in analytics environments. The ideal candidate will have a proven ability to scale enterprise reporting platforms, dashboards, and self-service data products, and experience in partnering with data engineering and data platform teams. A Bachelor's degree in a quantitative discipline or equivalent practical experience is required, with a preference for those who have worked in high-growth SaaS, cybersecurity, AI, or technology companies. The VP will be expected to foster a culture of continuous improvement, innovation, and data-driven decision-making, and to ensure that reporting processes and metric governance frameworks meet the highest standards of integrity and accountability. Functions Data Management/Analytics