Principal AI/Business Intelligence Data Analyst

AI/Business Intelligence Data Analyst – Principal  

About Us 

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity—from protecting consumers from fraud to enabling companies to focus on innovation. We obsess over improving the lives of our customers and their customers, and we prioritize a diverse F5 community where everyone can thrive.  

Data is a critical enabler, and we are transforming how we leverage it to power our business—evolving from traditional data management practices toward data-driven insights, intelligent systems, and AI-enabled decision-making.  

Role Overview 

We are seeking a Principal  AI/Business Intelligence Data Analyst to define, lead, and scale this transformation. This role sits at the intersection of data, business processes, and technology, shaping the creation of trusted, connected, and AI-ready data foundations that support F5’s future digital identity at an enterprise level. 

This is not a traditional data governance/management role. You will directly contribute to enabling F5’s long-term AI strategy through high-quality, connected, and insight-ready data by: 

• Translating complex business needs into enterprise-scale data and insight solutions 

• Influencing how data flows across systems to enable advanced analytics and AI use cases 

• Driving a shift toward data as a product, where quality, accessibility, governance, and usability are embedded into the design of systems 

The ideal candidate combines deep business analysis expertise, strong data intuition, and technical fluency, and operates with a mindset focused on strategic impact, scalability, and cross-functional leadership. 

Primary Responsibilities 

• Lead analysis and redesign of business processes and data flows to enable enterprise-wide data connectivity and insight generation, leveraging modern data quality tools, frameworks, and techniques 

• Identify, prioritize, and drive initiatives that transition manual data handling to automated, intelligence-driven, and scalable solutions 

• Define and guide the development of AI-ready data foundations, ensuring data is structured, governed, and accessible for predictive and machine learning use cases across the enterprise 

• Translate complex, ambiguous business problems into strategic data requirements and solution frameworks that support:  

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