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
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💰 - Day rate
Unknown
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🗓️ - Date
May 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - 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)