Senior Consultant - Data Engineer (AI Innovation Lab)

Job description

Responsibilities What You’ll Do We are looking for a Senior Data Engineer to ensure quick and dependable data availability for AI Proofs of Concept (POCs). This position handles collecting, processing, and providing data needed for testing—often involving synthetic, masked, or restricted datasets—to assist AI Engineers and Prompt Engineers during POC creation. POC or equivalent experience in Data Readiness Enablement Enable timely access to data needed for AI POCs, using production-aligned yet non-production data methods (synthetic, masked, sampled, or de-identified data). Collaborate with AI Engineers to understand data requirements that support model experimentation, timely response, and agent workflows. Quickly unblock data dependencies during POC or equivalent experience sprints to maintain delivery velocity. Lightweight Data Pipelines Integration Build lightweight, purpose‑specific data pipelines suitable for short‑lived POCs or equivalent experience. Integrate data from diverse sources (databases, files, APIs) without introducing unnecessary long‑term dependencies. Leverage existing enterprise tools and platforms where appropriate, while avoiding over‑engineering. Data Quality, Safety Governance Awareness Ensure POC datasets meet baseline expectations for data quality, security, and compliance. Partner with risk, security, and governance teams as needed to support safe experimentation. Clearly detail data constraints, assumptions, and limitations to inform feasibility decisions. Collaboration with Lab Roles Collaborate closely with AI…