Oracle CPQ Admin

Role: Oracle CPQ Admin

Experience: 5 Years

Location: PAN India

• 5+ years of hands-on Oracle CPQ Cloud administration and configuration experience in aproduction environment.
• Deep proficiency in BML (BigMachines Language) for pricing formulas, configuration logic, and document generation scripting
• Strong experience with Oracle CPQ product catalog design, attribute modeling, configuration rules, and commerce process workflows.
• Demonstrated experience integrating Oracle CPQ with Salesforce CRM using the nativeOracle CPQSalesforce connector.
• Experience with REST and/or SOAP API integration patterns for CPQ data exchange.
• Solid understanding of CPQ-related business processes: configure-to-order, quote-to-cash,pricing governance, and approval workflows.
• Proficiency in XSLT or Oracle CPQ's native template engine for quote document design.
• Experience managing multiple CPQ environments and coordinating structured release migrations.
• Preferred Qualifications
• Oracle CPQ Cloud certification or Oracle-recognized training completion.
• Experience integrating Oracle CPQ with Oracle ERP Cloud, Oracle Order Management, or Oracle Revenue Management Cloud.
• Familiarity with subscription billing, recurring revenue models, and renewal quotingwithin CPQ.
• Experience with Oracle CPQ's Advanced Configurator for complex hardware/BOM-drivenproduct models.
• Knowledge of Salesforce administration (objects, flows, profiles) to support the CRM–CPQintegration layer.
• Exposure to middleware/iPaaS platforms (MuleSoft, Azure Logic Apps, Boomi) for CPQintegration scenarios.
• Experience supporting large-scale sales organizations (500+ quoting users) or multi-region/multi-currency CPQ deployments.
• Familiarity with Agile/Scrum delivery practices.

Competencies

• Deep Platform Expertise: Recognized authority on Oracle CPQ — consulted first for complex configuration challenges and platform decisions.
• Business Acumen: Strong understanding of sales processes, pricing strategy, and revenue operations; able to bridge business intent and technical configuration.
• Analytical Problem-Solving: Skilled at diagnosing complex rule conflicts, pricing discrepancies, and integration failures with structured, data-driven approaches.