Sales Systems Architect & Data Quality Lead

CorSource; Newberg (OR); On-site; USD 120,000 - 180,000; Full time

Job summary

CorSource is seeking a seasoned architect / Staff Technical BA to assess and optimize our sales systems ecosystem, spanning Microsoft Dynamics 365 CRM, CPQ, and ERP. You will lead an end-to-end review of workflows, data flows, and integration points to identify root causes and recommended improvements.

You will partner with Sales, Customer Service, and IT to implement governance, data quality controls, and streamlined processes that reduce validation failures and data defects while enabling

Qualifications

• Experience architecting or optimizing CRM/CPQ/ERP solutions.
• Strong data governance and cross-platform data quality management.
• Experience with Microsoft Dynamics 365 CRM preferred.
• Hands-on problem-solver with quick assessment and actionable recommendations.
• Excellent communication with Sales, Customer Service, and IT stakeholders.

Responsibilities

• Conduct end-to-end assessment of current sales workflows and cross-system integration.
• Diagnose and resolve root causes of validation and data transfer issues between CRM, OrderNet (CPQ), and ERP.
• Improve customer and address data governance processes.
• Support CRM user adoption through workflow optimization and process simplification.
• Build scalable operational processes for ongoing data quality management.
• Establish scalable processes supporting domestic expansion and future channels.

Skills

CRM integration

ERP integration

Data governance

Cross-platform data quality

Microsoft Dynamics 365 CRM

Problem solving

Stakeholder communication

Tools

Microsoft Dynamics 365 CRM

Job description

CorSource is seeking a seasoned architect / Staff Technical BA to assess and optimize our sales systems ecosystem, spanning Microsoft Dynamics 365 CRM, CPQ, and ERP. You will lead an end-to-end review of workflows, data flows, and integration points to identify root causes and recommended improvements.

You will partner with Sales, Customer Service, and IT to implement governance, data quality controls, and streamlined processes that reduce validation failures and data defects while enabling