About
Within the Forward Deployment Engineering (FDE) Unit, the 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 the company's 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.
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What You’ll Achieve
As an AI Data Specialist, you will lead data readiness assessments and build secure, scalable pipelines to power AI/GenAI workloads. You will partner with stakeholders to design governed data flows, enabling production-grade AI solutions.
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 and ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
- 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 and contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations
- 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, and coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practice
Essential Requirements
- Typically, 5+ years in data engineering, analytics platforms, or AI data roles within large or complex organizations and 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 and 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 travel to customer sites and the company's locations as needed, in line with business requirements and applicable laws and the company's policies
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 and experience collaborating with security, compliance, architecture, and business stakeholders on data and AI initiatives
- Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns (e.g., feature stores, vectorization, RAG-related data flows)
Location
Dubai, United Arab Emirates
