Techno Functional Architect

RADcube - A NLogix Company

  • Indianapolis, IN
  • 1 day ago

    Highlights

    Summary: Translate business processes, domain knowledge, and enterprise data relationships into structured business context and ontology models that enable accurate AI interpretation. Define business level data relationships, including data grain, verified join paths, aggregation rules, and sample queries.

    Numbers & Facts

    LocationIndianapolis, IN

    Description

    Techno Functional Architect
    Location: Indianapolis, IN

    Summary: Translate business processes, domain knowledge, and enterprise data relationships into structured business context and ontology models that enable accurate AI interpretation.

    Responsibilities:

    • Collaborate with business stakeholders, domain experts, data owners, and technical teams to understand business processes and data usage.
    • Define and document domain ontology, including business concepts, relationships, hierarchies, synonyms, and terminology.
    • Map business terms, metric definitions, business rules, personas, and decision making processes to the relevant data products.
    • Analyze existing metadata, business glossaries, semantic layers, and knowledge graph relationships to identify missing business context.
    • Define business level data relationships, including data grain, verified join paths, aggregation rules, and sample queries.
    • Establish standards for context completeness, ontology ownership, review cycles, and change management.
    • Review AI generated answers with business stakeholders to identify context gaps and improve the correctness of business interpretations.
    • Support development of the domain onboarding methodology, knowledge management procedures, and reusable context documentation.

    Requirements

    Required Technical Expertise: Enterprise data modeling, business architecture, domain ontology, semantic layers, knowledge graphs, SQL, metadata management, business process modeling, data governance, and AI context engineering.



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