AI-Ready Knowledge Architect - Genesis10

Key Responsibilities

• Define and maintain enterprise‑wide data models, taxonomies, and metadata standards to support AI‑ready data consumption.
• Architect and curate knowledge graphs that connect structured and unstructured data for self‑service analytics.
• Collaborate with data engineers, data scientists, and business stakeholders to ensure data assets are discoverable, trustworthy, and aligned with AI initiatives.
• Establish governance processes, data quality metrics, and documentation practices for the organization’s data catalog.
• Provide guidance on data integration patterns, semantic enrichment, and tooling selection to accelerate AI model development.

Requirements

• 5+ years of experience in data architecture, data modeling, or knowledge management within large enterprises.
• Proficiency in designing taxonomies, ontologies, and metadata frameworks; experience with knowledge graph technologies (e.g., Neo4j, RDF, SPARQL) is a plus.
• Strong SQL skills and familiarity with data warehousing concepts; exposure to Python or similar scripting languages for data manipulation.
• Understanding of machine‑learning pipelines and how curated data supports model training and inference.
• Excellent communication and stakeholder‑management abilities, with a track record of driving data‑governance initiatives.