Dell Technologiesでは、Advisory AI Data Specialistを募集しています。顧客データをAIおよびGenAIワークロード向けに最適化し、データパイプラインを構築する役割です。データエンジニアリングおよびデータガバナンスにおける5年以上の経験が必須です。複雑な組織環境でデータ準備評価を主導し、セキュリティとコンプライアンスを確保できる専門家を求めています。
Within the Forward Deployment Engineering (FDE) Unit, the Advisory AI Data Specialist is the data expert who makes customer data ready for AI and GenAI workloads. You focus on removing data bottlenecks so FDE Units can move quickly from concept to live, value-generating AI workloads on Dell infrastructure. You will work with customer teams to map data landscapes, build integrations and pipelines, and configure governance and access controls so that data used in proofs of value is secure, compliant, and scalable to production.
Join us to do the best work of your career and make a profound social impact as an Advisory AI Data Specialist on our Forward Deployment Engineering (FDE) Team in Sydney.
Lead data readiness assessments to understand what data is available, how it is used, and how it can support AI use cases
Build and improve data pipelines and integrations that deliver AI-ready data for AI and GenAI workloads
Design and configure governance and compliance controls that enable secure and compliant use of data for AI
Help ensure that PoV data flows are designed with production scale, performance, and operations in mind
Partner with AI Architects, AI Strategists, and customer stakeholders to align data work with overall AI priorities and operating models
Lead data readiness assessments for FDE engagements, including cataloging data assets, ownership, quality, accessibility, and AI suitability
Perform hands-on data integration and transformation work to prepare AI-ready datasets for PoV and production solutions
Design and configure data governance and compliance controls (e.g., access control, sensitive data handling, retention, auditability) in line with regulatory and organizational needs
Define integration patterns and pipelines that deliver AI-ready data with appropriate security, risk, and privacy controls
Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
Collaborate closely with AI Architects to align data flows with the AI software stack and avoid data-related blockers
Work with AI Strategists and customer stakeholders to align data work with AI governance frameworks, operating models, and stewardship processes
Contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations
Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices
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