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Dell Technologies

Makes PCs, AI servers and data storage systems

Advisory AI Data Specialist

Data Management +1Confirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Four to eight or more years of experience in data engineering, analytics platforms, or AI data roles within large or complex organizations.
  • Experience running data-readiness assessments and preparing data for analytics or AI use cases.
  • Hands-on skill building data integrations and ETL/ELT processes and transforming raw data into AI-ready formats.
  • Experience configuring data-governance and compliance controls for secure and compliant data use, including sensitive data.
  • Ability to scale data pipelines from pilot to production while maintaining performance, reliability, and compliance.
  • Ability to explain data flows, governance decisions, and operational requirements in writing and verbally to technical and non-technical audiences.
  • Ability to interact with senior business leaders in large enterprise organizations and companies.
  • Ability to travel to customer sites and Dell locations as needed, in line with business requirements and applicable laws and Dell policies; potential sites include the Nordics, Europe, Middle East, Africa, the USA, and the United Kingdom, requiring ability to attend business meetings in those locations.
  • Finnish/Nordics language skills.
  • Proficiency in English.

Responsibilities

  • Lead data-readiness assessments for Forward Deployment Engineering engagements, including cataloging data assets, ownership, quality, accessibility, and AI suitability.
  • Perform hands-on data integration and transformation to prepare AI-ready datasets for proofs of value and production solutions.
  • Design and configure data-governance and compliance controls, including access control, sensitive-data handling, retention, and 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 proof-of-value pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability.
  • Collaborate 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 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.

Desired Qualifications

  • Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field.
  • Experience delivering production data pipelines and integrations for analytics or AI/ML use cases.
  • Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns such as feature stores, vectorization, and retrieval-augmented-generation-related data flows.
  • Experience collaborating with security, compliance, architecture, and business stakeholders on data and AI initiatives.

About the Company

Dell Technologies

Makes PCs, AI servers and data storage systems

Dell Technologies makes laptops, desktops, servers, data storage and networking equipment for businesses, governments, schools and consumers, and it builds many of the server racks inside large AI data centers. In 2016 it completed its $67 billion purchase of storage maker EMC, then the largest technology deal ever. One division sells PCs, monitors and Alienware gaming computers, while the other sells PowerEdge servers, storage arrays and networking gear to companies running their own data centers. Dell earns money from those hardware sales plus support, financing and subscription services. Michael Dell founded the company in 1984 from his University of Texas dorm room, and it is based in Round Rock, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Round Rock, TX
Founded
1984

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