DCX AI Business Analyst

Role Title
DCX AI Business Analyst
Exp - 8-10 yrs

Location - Bangalore (Hybrid)

Role Summary
We are looking for a Business Analyst to support the DCX AI journey by translating business problems into clear, actionable AI use cases, requirements, value cases and implementation-ready specifications.

The ideal candidate is a business-first, AI-curious analyst who can operate between strategy and execution.

The person should be comfortable working with ambiguity, asking sharp questions, structuring unclear business problems, and converting ideas into actionable AI use cases.
The role will work closely with domain owners, digital product teams, AI Hub / architecture teams, low-code makers, data teams, Enterprise IT, security/privacy stakeholders, and the DCX AI Office to identify, shape, prioritize and govern AI initiatives across customer-facing digital capabilities.
This role is not a traditional requirements-only BA role.

The person must be able to identify new AI trends related to Customer Experience, connect business value, process understanding, data readiness, AI feasibility, responsible AI, governance, adoption and ROI into one structured delivery approach.

Context of the Role
DCX is accelerating its transition toward an AI-enabled and Agentic AI-driven customer experience organization.

The DCX AI strategy focuses on building a unified AI strategy, developing an AI use-case portfolio, governing a centralized agent registry, and accelerating Agentic AI deployment across customer-facing capabilities.
This BA role will help operationalize the AI economics model by ensuring AI use cases are well-defined, value-backed, measurable, governed and ready for execution and track the Cost effectiveness,

Key Responsibilities
1.

AI Use Case Discovery & Intake
• Partner with DCX domains, product owners, business stakeholders and AI Office leads to identify AI, Agentic AI and automation opportunities.
• Capture business problems, current pain points, user journeys, operational inefficiencies and customer impact.
• Structure AI use cases into a standard intake format covering problem statement, business owner, expected value, target users, process scope, data sources, dependencies and success criteria.
• Support the centralized AI use-case and agent registry for DCX.
• Help assess whether a use case is suitable for off-the-shelf AI, low-code agent, Copilot Studio, AI Hub / pro-code solution, vendor AI capability or process redesign.
2.

Requirements & Process Analysis
• Translate business goals into actionable AI requirements, user stories, process flows and functional specifications.
• Document current-state and future-state process flows for AI-enabled workflows.
• Identify manual handoffs, repetitive decisions, knowledge bottlenecks, data gaps and automation candidates.
• Define human-in-the-loop requirements, approval points, exception handling and fallback processes.
• Work with AI architects and technical teams to convert busines...