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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Louisville, KY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Information Engineering, Data Governance, Python (Programming Language), Meta-Data Management, Operational Databases, Standard Sql, Runbook, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Software Applications, Data Classification, Retrieval-Augmented Generation, Large Language Models, Data Management, Cyber Warfare, Stream Processing, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-louisville-ky-usa-58885345

## About the Role

on repeatable evidence generation * Develop AI-enabled capabilities for governance, risk, and compliance and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and guardrails Tasks * 4+ years in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing on cloud platforms * Experience implementing data governance controls including data classification, encryption, audit logging, lineage/metadata management * Experience supporting governance, risk, and compliance workflows and LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability to travel aa
for and willingness for possible immigration sponsorship * Bachelor's degree or equivalent practical experience Key requirements *

## Description

Experteer Overview You will build and operate governed data foundations for cyber risk, compliance evidence, and AI-assisted security workflows. You will design production-grade data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence. You will collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into guardrails and reusable patterns. This role blends data engineering with GRC expectations in regulated environments, leveraging AI-enabled capabilities to accelerate governance and investigations. 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, including KRI, issues/defects, risk acceptance, control testing outcomes, audit evidence, and policy exceptions * Implement data quality, lineage, metadata, and access controls to support auditability and repeatable evidence generation * Develop AI-enabled capabilities for governance, risk, and compliance and cyber operations (evidence summarization, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and guardrails Tasks * 4+ years in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing on cloud platforms * Experience implementing data governance controls including data classification, encryption, audit logging, lineage/metadata management * Experience supporting governance, risk, and compliance workflows and LLM-enabled applications using retrieval-augmented generation and secure access patterns * Ability to travel 0-25% and willingness for possible immigration sponsorship * Bachelor's degree or equivalent practical experience Key requirements *


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