Principal AI/Business Intelligence Data Analyst

About the role

We are seeking a Principal AI/Business Intelligence Data Analyst to define, lead, and scale the transformation of F5's data and AI strategy. This role requires a blend of business analysis, data intuition, and technical fluency.

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.
• 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.

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).