Jade Global

Senior Business Analyst – CPQ Transformation

Jade Global Bengaluru, Karnataka, India

IT Services and IT Consulting · 1,001-5,000 employees

19 h ago
business-analyst Principal (10+ yrs) Full-time India
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About the role

The Senior Business Analyst will lead CPQ transformation programs by delivering high-quality user stories, business requirements, and AI-driven process improvements. They will manage risks and dependencies across workstreams while ensuring cross-functional alignment on scope and delivery velocity.

What they look for

CPQ Salesforce Apttus Conga CPQ Business Analysis Quote-to-Cash User Stories Requirements Gathering AI-driven Process Improvement System Integration MuleSoft Contract Lifecycle Management Backlog Prioritization Sprint Planning Revenue Operations Process Flows

Requirements

Candidates must have 8+ years of experience in CPQ transformation with deep knowledge of the Salesforce ecosystem and Apttus/Conga CPQ. Strong proficiency in writing user stories, acceptance criteria, and leveraging AI tools for requirements synthesis is required.

Full description

Sr. Business Analyst – Quote-to-Cash (Q2C) & Provisioning2 We are seeking two Senior Business Analysts with 8+ years of experience in CPQ transformation programs, including hands-on delivery of user stories, business requirements, and AI-driven process improvements. Candidates must be comfortable operating in a complex, hybrid technology environment spanning Salesforce, Apttus/Conga CPQ, custom applications, and system integrations and must demonstrate the ability to rapidly learn new systems, processes, and business contexts to contribute from day one. ---

  • Deep knowledge of CPQ platforms and the Salesforce ecosystem required; hands-on experience with Apttus/Conga CPQ strongly preferred — covering configuration logic, pricing waterfalls, quoting workflows, and contract lifecycle management. Familiarity with MuleSoft integration patterns is a plus.
  • Write and own high-quality user stories, use cases, and acceptance criteria — partnering closely with Product Managers to maintain delivery velocity through disciplined backlog prioritization, sprint planning, and cross-functional alignment on scope and dependencies.
  • Leverage AI tools to accelerate requirements synthesis — rapidly distilling stakeholder inputs, system constraints, and business rules into structured requirements, process flows, and test cases that serve as the single source of truth for engineering, QA, and revenue operations teams.
  • Lead risk and dependency management across CPQ workstreams — proactively surfacing blockers, driving lessons learned, and maintaining documentation quality standards that reduce rework and sustain delivery pace across complex, multi-team programs.

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