Techno Functional Architect

RADcube; Indianapolis (IN); On-site; USD 120,000 - 160,000; Full time

Job summary

RADcube in Indianapolis, IN invites a Techno Functional Architect to translate business processes, domain knowledge and enterprise data relationships into structured ontology models that enable accurate AI interpretation.

You'll collaborate with stakeholders to define domain ontology, map terms to data products, analyze metadata and knowledge graphs, and establish standards for context completeness, ontology ownership, review cycles and change management.

Qualifications

• Experience designing and implementing enterprise data models and ontologies.
• Ability to define semantic layers and map business terms to data products.
• Proficiency with SQL and metadata management practices.

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.

Skills

Enterprise data modeling

Business architecture

Domain ontology

Semantic layers

Knowledge graphs

SQL

Metadata management

Business process modeling

Data governance

AI context engineering

Job description

Indianapolis, United States | Posted on 11/11/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.
With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:
Digital Transformation and strategy consulting.
Custom Software Development tailored to specific business needs.
Advanced Data Analytics and AI-driven platforms.
Cybersecurity and risk management.
Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.
The company’s commitment to innovation has earned significant industry honors:
2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job 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.