Principal AI/Business Intelligence Data Analyst

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.  Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. 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 enabl er, 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:    Reporting and dashboards   Predictive analytics   AI/ML initiatives   Streamlined, scalable operational processes   Lead the design and evolution of   data governance and metadata strategies , emphasizing automation, usability, and long-term sustainability   Partner with engineering, architecture, and data teams to   shape and influence the design   of scalable data pipelines, models, and platform capabilities   Contribute to and influence the development of   enterprise data products , ensuring alignment with business strategy and analytics needs   Guide testing, validation, and business adoption approaches to ensure successful delivery and measurable outcomes   Establish and evolve   data lifecycle management practices , including creation, updates, and remediation across systems   Operate as a key connector between business context and technical execution, driving alignment across senior stakeholders   Identify   and communicate risks, dependencies, and opportunities to influence   data strategy, investment decisions, and prioritization   Proactively drive improvements to data capabilities in support of AI, advanced analytics, and future-state business processes   Contribute thought leadership to evolve the organization’s approach toward   data transformation, insight generation, and intelligent automation   Drive strategies to maximize the value of data assets, including   data cataloging, lineage, discoverability, and marketplace capabilities   Lead roo t cause analysis of systemic data issues, identifying patterns and implementing   sustainable, cross-functional solutions   Knowledge, Skills, and Abilities   Advanced technical, analytical, problem-solving, and systems-thinking capabilities   Demon strated abi lity to operate with   high autonomy and accountability , driving outcomes in complex, ambiguous environments   Strong ability to influence without authority and align diverse stakeholders across Business, Technology, and Data organizations   Expertise in framing complex problems and driving   enterprise- scale solutions aligned to long-term strategy   Exceptional communication and storytelling skills, able to translate between executive, business, and technical audiences   Deep   proficiency   in SQL; experience with Python, R, or similar tools for advanced analytics and data manipulation (preferred)   Experience leading or shaping analytics, predictive modeling, or AI/ML initiatives   Forward-thinking mindset with the ability to define how data drives   insights, intelligence, and business value at scale   Experience with data visualization tools (e.g., Power BI, Tableau) preferred   Experience with enterprise data catalogs (e.g., Atlan, Collibra, Alation) preferred   Experience with third-par