Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you build governed data foundations for cyber risk, compliance evidence, and AI-enabled workflows. You will design production-grade data pipelines and models that power risk reporting and audit-ready evidence, collaborating with Cyber, Risk, Privacy, and Legal teams. You’ll implement data quality, lineage, and access controls to support regulatory defensibility, while advancing AI-assisted governance and security operations. This is a hands-on role that blends data engineering with GRC expectations in regulated environments. You will shape scalable data platforms and reusable governance patterns for clients’ cyber and GRC programs. Compensation / Benefits * Build scalable batch and stream data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed stores * Design data models for risk and controls domains (KRI, issues, control testing, audit evidence) to enable self-service analytics * Implement data quality, lineage, metadata, and access controls for auditability and evidence generation * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, policy QA, investigation copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into guardrails and implementable controls 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 for batch/stream processing and deploying on cloud platforms with IaC and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) * Experience with retrieval-augmented generation and LLM-enabled applications, secure access patterns, and monitoring * Ability to travel 0-25% and potential immigration sponsorship Key requirements * broad range of benefits

and metadata, and access controls for auditability and evidence generation * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, policy QA, investigation copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into guardrails and implementable controls 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 for batch/stream processing and deploying on cloud platforms with IaC and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data aaaa range controls monitoring/testing, compliance metrics, tool integrations) * Experience with retrieval-augmented generation and LLM-enabled applications, secure access patterns, and monitoring * Ability to travel 0-25% and potential immigration sponsorship Key requirements * broad range of benefits