E2E Sales Planning & Compensation Architect

Prodapt; Richardson (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Prodapt in Richardson, TX seeks an experienced E2E Solution Designer/Architect to translate complex sales requirements into scalable, integrated solutions across Sales Planning, Sales Processes, and Sales Compensation.

You will collaborate with Sales Operations, Finance, HR, and Engineering to define business rules, data flows, and system integrations while ensuring performance, security, and data quality across the stack.

Qualifications

• Bachelor's or master's degree in CS, Engineering, IT, Business, or related field.
• 8+ years of experience in solution design, architecture, or enterprise delivery.
• Strong experience in Sales Planning, Sales Operations, Sales Compensation, or Sales Performance Management.
• Experience designing complex end-to-end solutions across multiple systems.

Responsibilities

• Own the end-to-end solution design for Sales Planning, Process, and Compensation capabilities.
• Analyze requirements and translate them into scalable functional and technical solutions.
• Define business rules for compensation, eligibility, incentives, quotas, and payouts.
• Design integrations between CRM, ERP, HR, Finance, data warehouse, and reporting platforms.
• Develop architecture diagrams, data models, APIs, and technical design documents.
• Ensure performance, security, availability, auditability, and data quality.
• Provide technical guidance to engineering and implementation teams.

Skills

Sales Planning

Sales Operations

Sales Compensation

Sales Performance Management

Education

Bachelor's or Master’s degree

Job description

Prodapt in Richardson, TX seeks an experienced E2E Solution Designer/Architect to translate complex sales requirements into scalable, integrated solutions across Sales Planning, Sales Processes, and Sales Compensation.

You will collaborate with Sales Operations, Finance, HR, and Engineering to define business rules, data flows, and system integrations while ensuring performance, security, and data quality across the stack.