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:  

• 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 root 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 

• Demonstrated ability 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-party enrichment data sources (e.g., Dun & Bradstreet, ZoomInfo, or similar) 

• Experience with company/account hierarchy experience across multiple disconnected data sources. (preferred) 

• Strong understanding of enterprise transactional systems (e.g., Salesforce, Oracle EBS, PIM, Marketo, Gainsight) 

• Deep understanding of data modeling, data transformation, pipelines, and system integration patterns 

• Strong knowledge of data quality, governance, and metadata frameworks at scale 

• Passion for data and its role in driving business and customer outcomes 

Qualifications 

• 15+ years of experience in business analysis, data analysis, or related roles, with demonstrated impact on complex, enterprise initiatives 

• Proven experience leading cross-functional efforts and influencing outcomes across large, matrixed organizations, ideally in SaaS or technology companies with complex data ecosystems 

• Experience working in Agile, cross-functional delivery environments 

• Bachelor’s degree in Business, Information Systems, Data, or a related field; advanced degree a plus 

• Certifications such as CBAP or Six Sigma (preferred) 

Physical Demands and Work Environment 

Duties are performed in a typical office environment while sitting at a desk or computer table. Responsibilities require the ability to use a computer, communicate over the telephone, and read printed materials.