

Voto Consulting LLC
(AI/ Artificial Intelligence) Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Business Analyst in Columbus, OH, for a 12-month contract at a pay rate of "X". Requires 10+ years of BA experience, AI/ML knowledge, and collaboration with data science teams. Locals only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 5, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Columbus, Ohio Metropolitan Area
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🧠 - Skills detailed
#UAT (User Acceptance Testing) #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Compliance #Supervised Learning #Cloud #Azure #GCP (Google Cloud Platform) #Data Science #Process Automation #Databricks #Business Analysis #Documentation #NLP (Natural Language Processing) #Data Quality #Automation #Unsupervised Learning #Agile #Storytelling #BigQuery #Data Privacy #ML (Machine Learning) #Classification #AWS (Amazon Web Services) #Stories #Snowflake #Requirements Gathering
Role description
Job Title: (AI/ Artificial Intelligence) Business Analyst
Location: Columbus, OH Onsite
Local candidate: locals only
Duration: 12 months contract
Interview Mode: teams
Visa: All Visa (Except OPTs & CPTs Candidates)
Note: 10+ years of experience as a Business Analyst / Techno‑Functional BA.
Job Description – Business Analyst (AI / Analytics Exposure)
Role Summary:
Looking for a Business Analyst with AI exposure who can act as a strong bridge between business stakeholders, data science / AI teams, and engineering. The ideal candidate will bring core BA skills (requirements, process modeling, stakeholder management) along with hands-on or working knowledge of AI/ML, analytics, and automation-driven use cases.
This role supports AI‑enabled transformation initiatives, including process automation, intelligent decisioning, predictive analytics, and agentic‑assisted workflows.
Key Responsibilities
Business & Functional Analysis
• Elicit, analyze, and document business, functional, and non-functional requirements for AI‑enabled solutions.
• Work closely with business stakeholders to identify AI / analytics use cases that improve efficiency, productivity, risk control, or customer experience.
• Translate business problems into AI problem statements (e.g., prediction, classification, recommendation, NLP use cases).
• Create process flows, user journeys, use cases, and acceptance criteria for AI-driven capabilities.
• Support UAT, validation of AI outputs, and business sign‑off.
AI / Data Collaboration
• Act as a liaison between business, data science, and engineering teams.
• Support definition of:
• Training data requirements
• Data quality rules
• Model assumptions and constraints
• Assist in interpreting model outputs, confidence scores, explainability (XAI), and business impacts.
• Partner with teams delivering ML models, LLM‑based solutions and agentic AI capabilities.
Process & Automation Enablement
• Support automation initiatives by mapping as‑is / to‑be processes and measuring productivity gains.
• Track benefits such as cost optimization, cycle time reduction, productivity uplift, and quality improvements.
Governance & Documentation
• Ensure compliance with data privacy, model governance, and regulatory expectations (especially in BFSI environments).
• Maintain structured documentation:
• BRDs / FRDs
• AI use‑case canvases
• Data dictionaries
• Model impact assessments
Required Skills & Experience
Core BA Skills
• 10+ years of experience as a Business Analyst / Techno‑Functional BA.
• Strong experience in:
• Requirements gathering
• Stakeholder management
• Agile delivery (user stories, backlog grooming)
AI / Analytics Exposure (Must‑Have)
• Working knowledge of:
• Machine Learning concepts (supervised/unsupervised learning)
• NLP / LLM use cases (chatbots, summarization, classification)
• Predictive & descriptive analytics
• Agentic AI frameworks
• AI‑assisted SDLC tools
• Experience working alongside:
• Data scientists
• AI engineers
• Analytics teams
• Ability to translate AI outputs into business‑friendly insights.
Note: Hands‑on model building is not mandatory, but conceptual clarity and applied usage is expected.
Nice‑to‑Have Skills
• Familiarity with:
• Cloud platforms (AWS / Azure / GCP – AI services)
• Data platforms (Snowflake, Databricks, BigQuery)
• BFSI / regulated domain exposure (Risk, Ops, Compliance, Customer Analytics).
Key Success Factors
• Ability to bridge business intent and AI capability
• Strong analytical and storytelling mindset
• Comfort operating in ambiguity and emerging AI use cases
Outcome‑oriented thinking (business value > technology)
Job Title: (AI/ Artificial Intelligence) Business Analyst
Location: Columbus, OH Onsite
Local candidate: locals only
Duration: 12 months contract
Interview Mode: teams
Visa: All Visa (Except OPTs & CPTs Candidates)
Note: 10+ years of experience as a Business Analyst / Techno‑Functional BA.
Job Description – Business Analyst (AI / Analytics Exposure)
Role Summary:
Looking for a Business Analyst with AI exposure who can act as a strong bridge between business stakeholders, data science / AI teams, and engineering. The ideal candidate will bring core BA skills (requirements, process modeling, stakeholder management) along with hands-on or working knowledge of AI/ML, analytics, and automation-driven use cases.
This role supports AI‑enabled transformation initiatives, including process automation, intelligent decisioning, predictive analytics, and agentic‑assisted workflows.
Key Responsibilities
Business & Functional Analysis
• Elicit, analyze, and document business, functional, and non-functional requirements for AI‑enabled solutions.
• Work closely with business stakeholders to identify AI / analytics use cases that improve efficiency, productivity, risk control, or customer experience.
• Translate business problems into AI problem statements (e.g., prediction, classification, recommendation, NLP use cases).
• Create process flows, user journeys, use cases, and acceptance criteria for AI-driven capabilities.
• Support UAT, validation of AI outputs, and business sign‑off.
AI / Data Collaboration
• Act as a liaison between business, data science, and engineering teams.
• Support definition of:
• Training data requirements
• Data quality rules
• Model assumptions and constraints
• Assist in interpreting model outputs, confidence scores, explainability (XAI), and business impacts.
• Partner with teams delivering ML models, LLM‑based solutions and agentic AI capabilities.
Process & Automation Enablement
• Support automation initiatives by mapping as‑is / to‑be processes and measuring productivity gains.
• Track benefits such as cost optimization, cycle time reduction, productivity uplift, and quality improvements.
Governance & Documentation
• Ensure compliance with data privacy, model governance, and regulatory expectations (especially in BFSI environments).
• Maintain structured documentation:
• BRDs / FRDs
• AI use‑case canvases
• Data dictionaries
• Model impact assessments
Required Skills & Experience
Core BA Skills
• 10+ years of experience as a Business Analyst / Techno‑Functional BA.
• Strong experience in:
• Requirements gathering
• Stakeholder management
• Agile delivery (user stories, backlog grooming)
AI / Analytics Exposure (Must‑Have)
• Working knowledge of:
• Machine Learning concepts (supervised/unsupervised learning)
• NLP / LLM use cases (chatbots, summarization, classification)
• Predictive & descriptive analytics
• Agentic AI frameworks
• AI‑assisted SDLC tools
• Experience working alongside:
• Data scientists
• AI engineers
• Analytics teams
• Ability to translate AI outputs into business‑friendly insights.
Note: Hands‑on model building is not mandatory, but conceptual clarity and applied usage is expected.
Nice‑to‑Have Skills
• Familiarity with:
• Cloud platforms (AWS / Azure / GCP – AI services)
• Data platforms (Snowflake, Databricks, BigQuery)
• BFSI / regulated domain exposure (Risk, Ops, Compliance, Customer Analytics).
Key Success Factors
• Ability to bridge business intent and AI capability
• Strong analytical and storytelling mindset
• Comfort operating in ambiguity and emerging AI use cases
Outcome‑oriented thinking (business value > technology)






