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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Cincinnati, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Information Engineering, Data Governance, Data Stores, Python (Programming Language), Key Management, Operational Databases, Standard Sql, Software Engineering, Large Language Models, Data Management, Cyber Warfare, Stream Processing
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-cincinnati-oh-usa-58885318

## About the Role

* capabilities for governance, risk, and cyber operations, including evidence summarization and control testing assistance. * Engineer integrations between data platforms and enterprise 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 experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch and/or stream processing with cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, governance tool integrations) and LLM-enabled applications * Ability
to travel 0-25% and willingness to work with clients in various industries * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview You join Deloitte's Cyber team to build governed data foundations powering risk, compliance evidence, and AI-enabled workflows. You design production-grade pipelines and data models that support risk reporting, controls monitoring, and audit-ready evidence with strong governance and privacy-by-design. You collaborate with Cyber, Risk, Privacy and Legal stakeholders to translate requirements into guardrails. This role blends data engineering with GRC expectations in regulated environments, offering opportunities to shape AI-enabled governance and cyber operations at scale. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry and compliance artifacts into governed data 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 to support auditability and regulatory defensibility. * Develop AI-enabled capabilities for governance, risk, and cyber operations, including evidence summarization and control testing assistance. * Engineer integrations between data platforms and enterprise 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 experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch and/or stream processing with cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting GRC workflows (risk reporting, audit data requests, controls monitoring/testing, governance tool integrations) and LLM-enabled applications * Ability to travel 0-25% and willingness to work with clients in various industries * Limited immigration sponsorship may be available Key requirements *


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