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Advisory AI Data Specialist
Solna, Stockholm, Sweden
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead data readiness assessments covering data assets, ownership, quality and AI suitability
Build data integrations and transformations that produce AI-ready datasets
Design and configure data governance, access and sensitive data controls
Define pipeline patterns that are production-ready from the start
Coach customer data engineers and platform teams on AI-ready pipelines
From the employer’s posting
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)
Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices
What you’ll bring
All qualificationsCore experience
- 4-8 or more years in data engineering, analytics platforms, or AI data roles within large or complex organizations
- Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field
- Experience running data readiness assessments and preparing data for analytics or AI use cases
- Experience delivering production data pipelines and integrations for analytics or AI/ML use cases
- Experience configuring data governance and compliance controls for secure and compliant use of data, including sensitive data
- Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns (e.g., feature stores, vectorization, RAG-related data flows)
Qualification wording
4-8 or more years in data engineering, analytics platforms, or AI data roles within large or complex organizations
Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field
Experience running data readiness assessments and preparing data for analytics or AI use cases
Experience delivering production data pipelines and integrations for analytics or AI/ML use cases
Experience configuring data governance and compliance controls for secure and compliant use of data, including sensitive data
Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns (e.g., feature stores, vectorization, RAG-related data flows)
Education & alternatives
Desirable Requirements - 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
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Sep 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Dell Technologies is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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About Dell Technologies
- People
- About 97,000 in 2026, down 10% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DELL.
Demand for Data Governance roles
New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Job description
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. We will prioritise passionate individuals who share our excitement to drive human progress through technology.
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 Solna, Sweden/Oslo, Norway/Copenhagen, Demark/Helsinki, Finland.
What You’ll Achieve
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.
You Will:
- 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
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- 4-8 or more years 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 skills in 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 use of data, including sensitive data
- Proven ability to scale data pipelines from pilot to production while maintaining performance, reliability, and compliance
- Clear written and verbal communication skills to explain data flows, governance decisions, and operational requirements to technical and non-technical audiences
- Ability to interact with senior business leaders within large Enterprise organisations 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 may include Nordics, Europe, Middle East, Africa, USA & United Kingdom, therefore the applicant must have the ability to attend business meetings in these locations
- Finnish / Nordics language skills
- Proficient in English
Desirable Requirements
- 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 (e.g., feature stores, vectorization, RAG-related data flows)
- Experience collaborating with security, compliance, architecture, and business stakeholders on data and AI initiatives
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Solna, Stockholm, Sweden
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.