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AI Business Analyst

AI Business Analyst

ALTEN Calsoft Labs
Fresher
Not Disclosed
  • Posted 12 days ago
  • Over 50 applicants have applied

Job Description

Position Summary

Bridges business operations, AI technology, and enterprise transformation. Works directly with stakeholders to redesign processes and implement AI-powered solutions across Microsoft 365 Copilot, Copilot Studio, GitHub Copilot (incl. Coding Agents), Power Platform AI, Azure AI, and enterprise AI agents.

Key Responsibilities

  1. Business Discovery & Analysis — stakeholder interviews, process mapping, business cases, requirements documentation, AI transformation roadmaps
  2. AI Opportunity Identification — assess applicability, evaluate Copilot/GitHub Copilot use cases, estimate ROI, prioritize backlog
  3. Solution Design — future-state processes, user journeys, functional specs, user stories, governance alignment
  4. Solution Delivery, Deployment & Configuration
  • A. Direct Configuration: hands-on setup of standard/low-code AI tools, prompt libraries, workflow automation, production rollout
  • B. Specification & Delivery Management: functional leadership for custom/advanced AI builds, UAT coordination, cross-team collaboration with engineers/architects
  1. Adoption & Change Management — training, enablement materials, adoption monitoring, barrier removal
  2. Value Realization & Continuous Improvement — KPI frameworks, ROI assessments, executive reporting, scaling roadmaps

Required Competencies

  • Business Analysis & Consulting: process reengineering, requirements elicitation, workshop facilitation, business case development, change management
  • AI & Technology: Generative/Agentic AI, Microsoft Copilot ecosystem, Power Platform, Azure AI Foundry, prompt engineering, Responsible AI/governance
  • Delivery & Transformation: Agile, functional spec writing, testing/validation, benefits realization, vendor coordination
  • Soft Skills: executive communication, storytelling, influence without authority, facilitation

Success Metrics (KPIs)

Use cases deployed, adoption rate, active user growth, productivity/hours saved, time-to-value, ROI, stakeholder satisfaction, developer productivity gains, solutions scaled across functions, governance compliance.

Role Summary

A business-first AI professional accountable end-to-end: hands-on delivery for standard platforms, and business ownership/governance for advanced custom AI builds executed by specialized engineering teams.

More Info

Key Skills

Generative Agentic AI

low-code AI tools

Responsible AI governance

Microsoft 365 Copilot

prompt engineering

GitHub Copilot

Coding Agents

Power Platform AI

workflow automation

Microsoft Copilot ecosystem

Azure AI

Copilot Studio

enterprise AI agents

About Company

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Requirements Gathering, Veeva Crm, Api Integration, change management, azure devops, Excel, Dynamics 365, jira, agile, Marketo, Process Mapping, salesforce, Stakeholder Management, Business Analysis, microsoft fabric, genai, data platforms, oracle cx, agentic ai, product management, microsoft copilot, kpi measurement