Data Contracts & Governance — Guided Implementation: Implement and maintain agreed data contracts between upstream data producers and downstream ML consumers, following governance standards established with guidance from ML Engineer. Establish access control and retention practices for all AI data assets.
Develop and maintain robust data quality processes, data management frameworks and implement data governance policies to meet compliance and governance requirements. Conduct regular data quality audits and generate reports on these for management and senior stakeholders; and
Knowledge Development Develop and maintain training and certification plans for consultants, promoting skills growth and technical expertise within the team
Set standards for data product design, data contracts, semantic consistency, trusted context, privacy/security-by-design, and measurable business value.
Design data ingestion and processing workflows for GenAI applications, including Retrieval-Augmented Generation (RAG), document processing, embedding generation, and vector search.
Implement automated data validation, reconciliation, monitoring, lineage and alerting controls to ensure the accuracy, completeness, freshness and reliability of data products.