Senior Data & AI Analyst - ffive

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.

Position Overview

The Senior Data & AI Lead for Resilience Assurance is a forward‑looking role designed to embed real‑time analytics and agentic AI into the organization’s assurance framework. This leader will pioneer the shift from traditional compliance monitoring to continuous, intelligent validation of policies and standards, ensuring resilience is not just maintained but dynamically strengthened in the face of evolving risks.

Key Responsibilities

Real‑time policy validation: Architect AI‑driven systems that continuously monitor and validate adherence to policies, standards, and regulatory requirements.

Predictive analytics for resilience: Develop models that forecast compliance risks, resiliency gaps, and emerging vulnerabilities before they materialize.

Agentic AI enablement: Deploy autonomous AI agents to simulate resiliency scenarios, monitor controls, and recommend corrective actions in real time.

AI‑augmented audits: Transform compliance audits into continuous, data‑driven processes with anomaly detection, automated reporting, and predictive insights.

Dynamic maturity assessments: Use AI‑powered benchmarking to track organizational resiliency maturity and project future readiness.

Architecture intelligence: Apply AI tools to evaluate system architectures for resiliency, scalability, and compliance alignment.

Automated control testing: Implement AI frameworks that validate control effectiveness instantly, reducing manual overhead and increasing accuracy.

Strategic advisory: Translate complex analytics and AI insights into actionable strategies for executives, regulators, and operational leaders.

Innovation roadmap: Drive a 3–5 year vision for embedding AI into assurance, ensuring the organization remains at the forefront of intelligent compliance.

Required Skills & Qualifications

Data analytics mastery: Expertise in big data platforms, machine learning, and visualization tools (Python, Spark, Power BI, Tableau, Snowflake).

LLM Models: Strong understanding of current LLM models, integrations, prompt engineering, and use for example: OpenAI, Claude, Gemini.

AI leadership: Proven experience deploying agentic AI, autonomous monitoring systems, and AI‑driven compliance solutions.