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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.
Resilience & compliance knowledge: An understanding in frameworks such as ISO 22301, ISO 27001, and regulatory standards is nice to have.
Technical depth: Understanding of IT architecture, cloud environments, and resiliency engineering.
Executive presence: Ability to influence senior stakeholders with clear, data‑driven narratives.
Certifications: Advanced AI/ML certifications are highly desirable.
Desired Attributes
Visionary innovator who sees AI as a catalyst for transforming assurance.
Strategic futurist with the ability to anticipate compliance challenges and design proactive solutions.
Collaborative influencer who builds trust across technical, business, and regulatory domains.
Continuous learner who stays ahead of emerging AI, analytics, and resiliency technologies.
Future Vision
Autonomous audits: AI agents will conduct continuous audits, reducing reliance on scheduled manual reviews.
Self‑healing controls: Automated systems will detect and remediate compliance deviations instantly, minimizing downtime and risk exposure.
AI‑driven regulatory reporting: Compliance reports will be generated in real time, tailored to evolving regulatory requirements.
Resiliency simulations: Agentic AI will run predictive simulations of disruptions (cyber, operational, environmental) to validate organizational readiness.
Adaptive assurance frameworks: Policies and standards will evolve dynamically, guided by AI insights and global compliance trends.
Human‑AI collaboration: Assurance teams will shift from manual validation to strategic oversight, focusing on interpreting AI‑generated insights and shaping organizational resilience strategy.
Impact of the Role
This role redefines Resilience Assurance as a real‑time, AI‑augmented discipline. By embedding analytics and agentic AI into compliance monitoring, the Senior Data & AI Lead ensures the organization evolves from reactive compliance to predictive, adaptive resilience — positioning the enterprise as a global leader in intelligent assurance over the next decade.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting [email protected].
Skills Required
- Expertise in big data platforms, machine learning, and visualization tools (Python, Spark, Power BI, Tableau, Snowflake).
- Strong understanding of current LLM models, integrations, and prompt engineering (e.g., OpenAI, Claude, Gemini).
- Proven experience deploying agentic AI, autonomous monitoring systems, and AI‑driven compliance solutions.
- Understanding of resilience and compliance frameworks such as ISO 22301 and ISO 27001.
- Understanding of IT architecture, cloud environments, and resiliency engineering.
- Ability to influence senior stakeholders and translate analytics into executive strategy (executive presence).
- Advanced AI/ML certifications.
F5 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about F5 and has not been reviewed or approved by F5.
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Equity Value & Accessibility — Equity grants and an employee stock purchase plan are positioned as meaningful parts of total compensation, with RSUs and a discount ESPP commonly included. Pay packages for many technical roles are considered competitive when equity is taken into account.
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Leave & Time Off Breadth — Paid vacation that increases with tenure, sick time, paid holidays, and paid family leave are prominently featured. Additional programs like volunteer time and periodic wellness long weekends are highlighted as part of the time-off ecosystem.
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Inclusive Benefits Coverage — Health plans include travel support for specific care (such as reproductive and gender‑affirming services) and mental health resources, alongside comprehensive medical, dental, and vision coverage. These elements are presented as part of a broad, inclusive approach to healthcare.
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