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 AIenabled 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 AIenabled 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 signoff.
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, LLMbased solutions and agentic AI
- capabilities.
Process & Automation Enablement
Support automation initiatives by mapping asis / tobe 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 usecase canvases
o Data dictionaries