AI Business Analyst - Indiana

Zoho; Indianapolis (IN); Vor Ort; USD 90.000 - 120.000; Vollzeit

Zusammenfassung

RADcube is seeking an AI Business Analyst in Indianapolis to partner with business units to identify high-value AI, GenAI and Data opportunities.

You will lead stakeholder discovery, map processes, translate challenges into AI use cases, define KPIs and drive UAT and implementation priorities. Experience with Databricks/NVIDIA and healthcare/pharma is a plus.

Qualifikationen

• For AI/GenAI initiatives, identify high-value opportunities in business units.
• Define requirements, user stories, and acceptance criteria for AI projects.
• Lead KPI setting, UAT planning, and prioritization of implementations.

Aufgaben

• Partner directly with business units to identify high-value AI, GenAI & Data opportunities
• Lead stakeholder discovery, workshops, process mapping & current/future-state analysis
• Translate business challenges into AI use cases, requirements, user stories & acceptance criteria
• Strong understanding of AI/GenAI fundamentals, LLM/RAG concepts & data requirements
• Define KPIs, expected business value, UAT requirements & implementation priorities
• AI product discovery, consulting, AI transformation or Data/AI strategy experience preferred
• Databricks/NVIDIA and healthcare/pharma exposure are pluses
• Must be proactive and consultative - not simply a requirements-taker
• Ideal for business-savvy AI BAs who can uncover opportunities, shape use cases and help create new Data/AI workstreams

Kenntnisse

AI

GenAI

Data analysis

Stakeholder facilitation

Process mapping

User stories

Acceptance criteria

KPI definition

UAT

AI strategy

Consulting

Tools

Databricks

NVIDIA

Jobbeschreibung

Indianapolis, United States | Posted on 10/05/2026

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

AI Business Analyst - Indianapolis, IN

• Partner directly with business units to identify high-value AI, GenAI & Data opportunities


• Lead stakeholder discovery, workshops, process mapping & current/future-state analysis


• Translate business challenges into AI use cases, requirements, user stories & acceptance criteria


• Strong understanding of AI/GenAI fundamentals, LLM/RAG concepts & data requirements


• Define KPIs, expected business value, UAT requirements & implementation priorities


• AI product discovery, consulting, AI transformation or Data/AI strategy experience preferred


• Databricks/NVIDIA and healthcare/pharma exposure are pluses


• Must be proactive and consultative - not simply a requirements-taker


• Ideal for business-savvy AI BAs who can uncover opportunities, shape use cases and help create new Data/AI workstreams