Senior Data & AI Analyst

Position Overview

The Senior Data & AI Lead for Resilience Assurance is aforwardlookingrole designed to embedrealtimeanalytics and agentic AI into the organizations assurance framework. This leader will pioneer the shift from traditional compliance monitoring to continuous intelligent validation of policies and standards ensuring resilience is not justmaintainedbut dynamically strengthened in the face of evolving risks.

Key Responsibilities

• Realtimepolicy validation: ArchitectAIdrivensystems that continuouslymonitorand 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 scenariosmonitorcontrols and recommend corrective actions in real time.

• AIaugmentedaudits: Transform compliance audits into continuousdatadrivenprocesses with anomaly detection automated reporting and predictive insights.

• Dynamic maturity assessments: UseAIpoweredbenchmarking 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 thatvalidatecontrol 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 35 yearvision for embedding AI into assurance ensuring the organizationremainsat the forefront of intelligent compliance.

Required Skills & Qualifications

• Data analytics mastery:Expertisein 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 andAIdrivencompliance solutions.

• Resilience & compliance knowledge: Anunderstandingin frameworks such as ISO 22301ISO 27001 and regulatory standards is nice to have.

• Technical depth:Understanding ofIT architecture cloud environments and resiliency engineering.

• Executive presence: Ability to influence senior stakeholders with cleardatadrivennarratives.

• 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 toanticipatecompliance challenges and design proactive solutions.

• Collaborative influencer who builds trust across technical business and regulatory domains.

• Continuouslearnerwho 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.

• Selfhealingcontrols: Automated systems will detect and remediate compliance deviations instantly minimizing downtime and risk exposure.

• AIdrivenregulatory 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) tovalidateorganizational readiness.

• Adaptive assurance frameworks: Policies and standards will evolve dynamically guided by AI insights and global compliance trends.

• HumanAIcollaboration: Assurance teams will shift from manual validation to strategic oversight focusing on interpretingAIgeneratedinsights and shaping organizational resilience strategy.

Impact of the Role

This role redefines Resilience Assurance as arealtimeAIaugmenteddiscipline. 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.