Job Description Business Analyst (AI / Analytics Exposure)
Location: Columbus, Ohio
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:
o Training data requirements
o Data quality rules
o 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:
o BRDs / FRDs
o AI use-case canvases
o Data dictionaries
o Model impact assessments
Required Skills & Experience
Core BA Skills
10+ years of experience as a Business Analyst / Techno-Functional BA.
Strong experience in:
o Requirements gathering
o Stakeholder management
o Agile delivery (user stories, backlog grooming)
AI / Analytics Exposure (Must-Have)
Working knowledge of:
o Machine Learning concepts (supervised/unsupervised learning)
o NLP / LLM use cases (chatbots, summarization, classification)
o Predictive & descriptive analytics
o Agentic AI frameworks
o AI-assisted SDLC tools
Experience working alongside:
o Data scientists
o AI engineers
o 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:
o Cloud platforms (AWS / Azure / Google Cloud Platform AI services)
o 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)