Director of Analytics & Business Intelligence

Get to Know Us Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.  We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.   About the Role Horizon3.ai http://Horizon3.ai is in search of a highly motivated and technically skilled Director of Analytics & Business Intelligence to lead a dynamic team of BI analysts and developers. This role requires a strong blend of leadership, strategic thinking, business partnership, and hands-on analytics expertise to enable data-driven decision-making across the organization. The ideal candidate will have experience building and scaling BI and analytics capabilities, developing executive-level dashboards and reporting frameworks, enabling self-service analytics, managing a high-performing team, and collaborating closely with cross-functional stakeholders. This role will partner closely with Engineering, Product, Sales, Marketing, Finance, Customer Success, and Operations teams. The Director of Analytics and Business Intelligence will report to the VP of Product Management and will be responsible for building a scalable, intuitive, and AI-enabled analytics function that helps drive business decisions across the organization. This leader should bring practical knowledge of modern AI tools and AI-assisted analytics platforms to improve dashboard development, automate insights, reduce manual reporting, and help teams interact with data more effectively. RESPONSIBILITIES TEAM LEADERSHIP & STRATEGY - Lead, mentor, and develop a team of BI analysts, analytics professionals, and BI developers, fostering a culture of high performance, curiosity, accountability, and continuous improvement. - Collaborate with senior leadership to define and execute the BI and analytics roadmap aligned with company goals and business priorities. - Establish clear priorities, operating rhythms, and intake processes for analytics requests across the organization. - Drive standardization, scalability, and automation across dashboards, reporting, metrics definitions, and analytics workflows. - Serve as a strategic partner to business leaders by translating business questions into actionable insights, reporting solutions, and measurable outcomes. BUSINESS INTELLIGENCE & ANALYTICS ENABLEMENT - Deliver actionable insights through dashboards, reports, scorecards, and analytical frameworks using tools such as Looker, Tableau, Power BI, Sigma, or similar platforms. - Develop and maintain executive dashboards and business performance reporting that provide clear visibility into company KPIs, trends, risks, and opportunities. - Partner with business units, including Product, Sales, Marketing, Finance, Customer Success, and Operations, to understand their analytics needs and translate them into clear reporting and insight requirements. - Facilitate self-service analytics by creating intuitive dashboards, trusted datasets, documentation, and enablement resources that empower teams to make data-driven decisions. - Define and promote consistent metric definitions, reporting standards, and dashboard best practices across the company. - Identify opportunities to improve business performance through data analysis, trend identification, funnel analysis, segmentation, forecasting, and operational reporting. AI-ASSISTED ANALYTICS & DASHBOARD INNOVATION - Evaluate, implement, and promote AI-assisted analytics tools that improve the speed, quality, and accessibility of insights across the organization. - Use AI tools to accelerate dashboard development, automate recurring analysis, identify anomalies, summarize trends, and uncover hidden insights. - Partner with stakeholders to explore new ways of using AI to make analytics more intuitive, interactive, and scalable. - Develop best practices for responsible use of AI in analytics, including data accuracy, validation, governance, and human review. - Stay current on emerging