AI Business Analyst

RADcube; Indianapolis (IN); On-site; USD 85,000 - 115,000; Full time

Job summary

RADcube in Indianapolis, IN is seeking a Business Analyst, AI to capture business requirements, document domain knowledge, and translate real business questions into structured, testable requirements for AI-enabled data products.

You will run workshops with stakeholders, map processes, define metrics and acceptance criteria, and collaborate with the Techno-Functional Architect to ensure accurate domain terminology and data foundations for pilots.

Qualifications

• Required Technical Expertise: Business analysis, requirements gathering, stakeholder management, business process mapping, SQL and data analysis fundamentals, data dictionaries, business glossaries, Agile delivery, and familiarity with AI and LLM use cases.

Responsibilities

• Conduct workshops and interviews with business stakeholders, process owners, and data owners to understand the selected pilot domain.
• Document business processes, operational decisions, business rules, terminology, metrics, and the questions stakeholders expect AI systems to answer.
• Translate ambiguous business requests into clearly defined questions, expected answers, acceptance criteria, and business use cases.
• Maintain a dataset to business process and dataset to question inventory for the pilot domain.
• Capture persona specific definitions, business interpretation rules, known data limitations, and exceptions.
• Work with the Techno Functional Architect to validate domain terminology, ontology relationships, and contextual requirements.
• Coordinate with data owners to obtain and verify ground truth answers for AI evaluation.
• Track business context completeness, unresolved requirements, stakeholder feedback, and necessary remediation.
• Support weekly demonstrations, user feedback sessions, business acceptance, and preparation of the domain onboarding playbook.

Skills

Business analysis

Requirements gathering

Stakeholder management

Process mapping

SQL basics

Data analysis

Data dictionaries

Business glossaries

Agile delivery

AI/LLM use cases

Job description

Indianapolis, United States | Posted on 11/10/2026

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.

• 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

Business Analyst, AI

Location: Indianapolis, IN

Summary: Capture business requirements, document domain knowledge, and translate real business questions into structured, testable requirements for AI enabled data products.

Responsibilities:

• Conduct workshops and interviews with business stakeholders, process owners, and data owners to understand the selected pilot domain.
• Document business processes, operational decisions, business rules, terminology, metrics, and the questions stakeholders expect AI systems to answer.
• Translate ambiguous business requests into clearly defined questions, expected answers, acceptance criteria, and business use cases.
• Maintain a dataset to business process and dataset to question inventory for the pilot domain.
• Capture persona specific definitions, business interpretation rules, known data limitations, and exceptions.
• Work with the Techno Functional Architect to validate domain terminology, ontology relationships, and contextual requirements.
• Coordinate with data owners to obtain and verify ground truth answers for AI evaluation.
• Track business context completeness, unresolved requirements, stakeholder feedback, and necessary remediation.
• Support weekly demonstrations, user feedback sessions, business acceptance, and preparation of the domain onboarding playbook.

Requirements

Required Technical Expertise: Business analysis, requirements gathering, stakeholder management, business process mapping, SQL and data analysis fundamentals, data dictionaries, business glossaries, Agile delivery, and familiarity with AI and LLM use cases.