Solutions Architect - Revenue Transformation - Oracle CPQ

RESPONSIBILITIES :

• Maintain thorough understanding of current and planned applications, tools and technologies related to the Argano 4 Oracle supported platforms and tools.
• Lead Project solution design through implementations, overseeing critical milestones.
• Complete RFP responses
• Work with the sales team to drive sales cycles to completion.
• Promptly communicating, engaging, and acting appropriately to remedy client satisfaction issues occurring before, during and after an engagement, escalating to the PMO as necessary
• Utilizing entrepreneurial skills to network and building strong relationships internally and externally with clients and the Oracle Cloud community
• Meeting with client to advocate for process improvements to their existing business processes. Leading strategic business process transformation sessions and conversations to identify opportunities for improvement related to people, process, or technology.
• Lead design meetings with clients to identify their business process requirements and technical needs to determine proper solution for implementation.
• Architect the overall proposed solution and implementation strategy
• Collaborate with the sales team to facilitate information gathering sessions for both product demonstration and functional scoping purposes.
• Perform quality control on estimates and Statements of Work related to scope, project drivers, assumptions, complimentary and competing initiatives, and critical path items.
• Participate in defining and delivering project proposals and estimates, statements of work and implementation strategies.
• Communicate product information and provide guidance to clients and coworkers on issues, tools and techniques, enhancements, changes in processes and related information.
• Provide technical insight for proposal responses, RFPs, and other documentation.

QUALIFICATIONS :

Education and Experience :

Skills Required

Oracle Cpq, Solution Design, Cloud Architecture, Api Integration, Data Modeling