Job Summary

We are seeking an experienced AI / ML Business Analyst to support enterprise AI initiatives by translating business problems into AI/ML use cases, defining success metrics, and ensuring measurable business value. The role acts as the business anchor for AI products, working closely with AI Engineers, Product Owners, and stakeholders—without requiring hands-on technical or coding expertise.

Key Responsibilities

1) AI Use Case Discovery & Framing

• Identify and define AI / ML use cases aligned to business strategy.

• Translate business challenges into AI-ready problem statements.

• Define objectives, assumptions, constraints, and expected outcomes.

2) Requirements for AI & ML Solutions

• Gather and document:

o Business requirements

o Functional AI requirements (inputs, outputs, decisions, automation scope)

o Non-functional requirements (accuracy targets, explainability, compliance, SLAs)

• Create AI-specific BRDs, user stories, and acceptance criteria.

• Ensure requirements are feasible, measurable, and aligned to AI delivery timelines.

3) KPI, Value & ROI Definition

• Define KPIs for AI solutions (accuracy, automation %, time saved, cost reduction).

• Build business value and ROI models for AI initiatives.

• Track post-deployment benefits realization.

4) Stakeholder & AI Team Collaboration

• Act as the primary business interface for:

o AI Engineers

o Data Science teams

o Product Owners

• Facilitate workshops on AI feasibility, scope, and prioritization.

• Ensure business expectations are aligned with AI system capabilities.

5) Governance, Risk & Responsible AI Support

• Support AI governance processes (approvals, documentation, audits).

• Identify business risks related to AI adoption, bias, explainability, and compliance.

• Ensure alignment with Responsible AI principles from a business perspective.

Core Competencies

• Strong experience working on AI / ML or analytics-driven initiatives

• Business requirements management for data-driven systems

• KPI definition and value realization

• Excellent stakeholder communication and facilitation skills

Preferred Qualifications

• Experience in real estate / construction AI use cases

• Exposure to AI concepts such as:

o ML models, RAG, AI agents (conceptual understanding)

• Certifications (nice-to-have):

o Lean Six Sigma

o Agile Business Analysis

What Success Looks Like

• Clearly defined AI use cases with measurable outcomes

• Strong alignment between business goals and AI delivery

• High adoption and value realization of AI solutions

• Reduced scope creep through strong AI-specific requirements