Corcentric

• Spend a significant portion of time on the phone, proactively calling suppliers and businesses to support profile activation within the Corcentric payment network. • Apply excellent communication skills and product knowledge to encourage companies to convert to electronic payments by joining Corcentric payment network. • Respond to supplier objections and provide information on the benefits of joining the payment program. • Utilize Excel spreadsheets to complete enrollment-related tasks efficiently. • Maintain accurate and up-to-date customer records in the Customer Relationship Management (CRM) system, including tracking interactions, updating account details, and referencing historical data. • Communicate with customers through the case management system to address inquiries and provide support. • Reference internal knowledge bases, FAQs, and other resources to quickly locate answers to customer questions. • Conduct online research using search engines and websites to gather or verify business contact information. • Coordinate vendor needs across communication channels, managing sensitive data in CRM and related systems to ensure timely and accurate responses. • Diagnose and resolve vendor issues independently or escalate complex concerns to a Team Lead or Manager when necessary. • Follow organizational protocols when interacting with vendors, focusing on active listening, empathy, and effective resolution of concerns. • Demonstrate empathy and attentiveness in customer interactions, acknowledging their needs and responding appropriately during phone conversations.

• Serve as the senior Subject Matter Expert and technical lead for GPO operations, Managed AR processes, and Procurement workflows. • Lead hands-on design and development of end-to-end solutions leveraging .NET (C#), Python, Microservices architecture, and event-driven systems using Kafka. • Architect and implement scalable data pipelines using Spark, SSIS, and AWS services (e.g., S3, Glue, Lambda, EMR, Redshift, etc.). • Design, develop, and optimize reporting and analytics solutions using SSRS, Lightdash, and modern BI tools. • Build and maintain robust, high-performance data models and data warehouses to support advanced analytics and business intelligence. • Translate complex procurement and AR business requirements into scalable technical solutions and personally contribute to coding, implementation, and delivery. • Lead technical workstreams involving microservices development, real-time data streaming (Kafka), batch and big data processing (Spark), and cloud-native architectures on AWS. • Drive performance optimization, scalability, and reliability across applications and data platforms. • Troubleshoot complex issues spanning application, data, integration, and cloud layers. • Mentor and guide development teams on best practices in .NET, Python, Microservices, Kafka, Spark, and AWS cloud solutions.