Techno Functional Architect

Posted Yesterday
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Indianapolis, IN, USA
In-Office
Entry level
Artificial Intelligence • Software • Consulting • Automation
The Role
Translates business processes, domain expertise, and enterprise data relationships into ontology and business-context models for AI interpretation. Defines terminology, relationships, business rules, data mappings, verified join paths, aggregation rules, and semantic standards. Collaborates with stakeholders, data owners, and technical teams to identify context gaps, review AI-generated answers, improve interpretation accuracy, and establish governance, ownership, review, and change-management practices.
Summary Generated by Built In
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.



Skills Required

  • Enterprise data modeling
  • Business architecture
  • Domain ontology
  • Semantic layers
  • Knowledge graphs
  • SQL
  • Metadata management
  • Business process modeling
  • Data governance
  • AI context engineering
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The Company
HQ: Indianapolis, IN
96 Employees
Year Founded: 2015

What We Do

RADcube is a technology consulting and software development firm founded in 2015 and headquartered in Carmel, Indiana. It helps organizations turn enterprise ideas into practical innovations through digital transformation, custom software, data analytics, artificial intelligence, cloud computing, cybersecurity, and intelligent automation. The company serves healthcare, finance, government, and manufacturing clients, combining human-centric delivery with responsible, accountable technology solutions designed to produce measurable business outcomes.

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