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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Audit Trail, Cloud Computing Security, Information Engineering, Data Governance, Data Stores, Python (Programming Language), Key Management, Metadata, Operational Databases, Standard Sql, Runbook, Security Information and Event Management, Software Engineering, Systems Integration, Retrieval-Augmented Generation, Large Language Models, Data Management, Machine Learning Operations, Cyber Warfare, Stream Processing, Data Pipelines, Servicenow
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-denver-co-usa-58885322

## About the Role

engineering * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms and enterprise GRC/workflow systems with observability and runbooks for production support * Partner 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 on cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, secrets, retention, audit logging, lineage/metadata) * Experience
supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) and building LLM-enabled apps with retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available * Preferred: experience in consulting/Big 4; experience with Java/Go/JS; experience integrating with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR/IR/Cloud security posture; experience with LLM/MLOps governance; security certifications Key requirements *

## Description

Experteer Overview In this role, you build scalable data foundations and governance-enabled pipelines to power cyber risk, compliance evidence, and AI-assisted security workflows. You'll shape risk and controls data models, implement quality, lineage, and access controls, and enable self-service analytics. You'll also develop AI-enabled capabilities to accelerate governance and cyber operations, while bridging data engineering with GRC requirements in regulated environments. The role offers impact across risk reporting, auditability, and enterprise-wide integrations. Compensation / Benefits * Build scalable batch and stream data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk and controls (KRI, issues/defects, risk acceptance, audit evidence, policy exceptions) to enable self-service analytics * Implement data quality, lineage, metadata, and access controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms and enterprise GRC/workflow systems with observability and runbooks for production support * Partner 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 on cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, secrets, retention, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) and building LLM-enabled apps with retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available * Preferred: experience in consulting/Big 4; experience with Java/Go/JS; experience integrating with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR/IR/Cloud security posture; experience with LLM/MLOps governance; security certifications Key requirements *


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