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)