Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role, you will design and operate governed data foundations to support cyber risk and AI-enabled security workflows. You’ll build scalable data pipelines and models for risk reporting, controls monitoring, and audit-ready evidence. You will work with cross-functional partners to translate GRC requirements into robust data solutions and governance patterns. The role combines modern data engineering with governance and compliance in regulated environments, offering impact at scale. You will contribute to innovative AI-enabled capabilities that accelerate governance and security operations. Compensation / Benefits * Build scalable batch and stream data pipelines ingesting security telemetry and compliance artifacts into governed stores * Design data models for risk, controls, and audit evidence to enable self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls for auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, Q&A, copilots) * Engineer integrations between data platforms, GRC workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years of data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing and cloud deployments * Experience implementing data governance controls including data classification, encryption, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows and large language model-enabled applications * Ability to travel 0-25% Key requirements *

and capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, Q&A, copilots) * Engineer integrations between data platforms, GRC workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years of data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing and cloud deployments * Experience implementing data governance controls including data classification, encryption, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows and large language model-enabled applications * Ability to travel 0-25% Key requirements *