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Position Overview
The Senior Data & AI Analyst for Resilience Assurance is a hands-on engineering role designed to embed real-time analytics and agentic AI into the organization’s assurance framework. You will build the applications, data pipelines, and AI agents that move traditional compliance monitoring toward continuous, intelligent validation of policies and standards, helping ensure resilience is maintained and strengthened as risks evolve. Resilience expertise is not required; you will work with SMEs who will help you build domain knowledge.
Key Responsibilities
- Real-time policy validation: Build AI-driven systems that continuously monitor and validate adherence to policies, standards, and regulatory requirements, and apply AI tools to evaluate system architectures for resiliency, scalability, and compliance alignment.
- Predictive analytics for resilience: Develop models that forecast compliance risks, resiliency gaps, and emerging vulnerabilities before they materialize.
- Agentic AI enablement: Build and deploy autonomous AI agents to simulate resiliency scenarios, monitor controls, and recommend corrective actions in real time.
- AI-augmented audits: Build pipelines and tooling that make compliance audits continuous and data-driven, with anomaly detection, automated reporting, and predictive insights.
- Dynamic maturity assessments: Build AI-powered benchmarking tools to track organizational resiliency maturity and project future readiness.
- Automated control testing: Implement AI frameworks that validate control effectiveness instantly, reducing manual overhead and increasing accuracy.
- Full-stack delivery: Develop APIs, services, and front-end interfaces that surface analytics and AI outputs to assurance teams, with solid testing, CI/CD, monitoring, and security practices.
- AI quality and guardrails: Implement evaluation, guardrails, and human-in-the-loop review so AI outputs are accurate, explainable, and auditable.
- Stakeholder collaboration and roadmap: Work with technical, business, and regulatory partners to turn requirements into working solutions, explain analytics and AI results clearly, and contribute to the 3–5 year plan for embedding AI into assurance.
Required Skills & Qualifications
- Experience: 6+ years of professional software engineering experience.
- Software engineering: Strong full-stack development experience, including back-end (Python, plus TypeScript/Node or similar), API design, and a modern front-end framework (e.g., React).
- Data engineering: SQL, data modeling, and pipelines; experience with big data platforms (e.g., Spark, Snowflake); practical machine learning experience.
- LLM models: Strong understanding of current LLM models, integrations, prompt engineering, RAG, and tool/function calling, for example OpenAI, Claude, Gemini.
- AI delivery: Experience building and deploying AI-enabled automation, ML models, or agent workflows in a business setting.
- Technical depth: Understanding of IT architecture and cloud environments (AWS, Azure, or GCP), containers, and CI/CD.
- Communication: Ability to explain technical trade-offs and data-driven findings to senior stakeholders.
Nice to Have
- Understanding of resilience and compliance frameworks such as ISO 22301 and ISO 27001, and regulatory standards
- Background in risk, audit, compliance, or IT operations
- Knowledge of resiliency engineering
- Data visualization or dashboarding experience (Power BI, Tableau)
- Advanced AI/ML or cloud certifications
Desired Attributes
- Pragmatic builder who ships working solutions and iterates
- Fast learner who becomes effective quickly in unfamiliar domains
- Collaborative partner who builds trust across technical, business, and regulatory domains
- Continuous learner who stays ahead of emerging AI, analytics, and resiliency technologies
Where the Role Can Grow
- 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 oversight of AI-generated insights.
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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].
