Senior SAP APMe Developer: Incentive Data Specialist

TechDigital Group

Michigan

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Job summary

TechDigital Group is seeking a Senior SAP APMe Developer based in Michigan, USA. In this role, you will be instrumental in designing and optimizing SAP Agent Performance Management solutions. The ideal candidate will possess over 5 years of experience working with APMe and have a strong background in SQL and Groovy scripting.

Your responsibilities will include enhancing incentive compensation solutions, collaborating with cross-functional teams, and ensuring high-quality outcomes. Excellent communication and analytical skills are essential for success in this role.

Qualifications

  • 5+ years of hands-on experience with SAP APMe.
  • Strong analytical and problem-solving skills.
  • Ability to troubleshoot and resolve production issues.

Responsibilities

  • Design, develop, and enhance SAP APMe solutions.
  • Configure and develop APMe compensation and incentive structures.
  • Collaborate with offshore teams and provide technical guidance.

Skills

SAP APMe (Agent Performance Management)
SQL / PL‑SQL
Groovy scripting
Data integration / ETL tools
Large datasets handling

Tools

SAP Commissions (Callidus ICM)
Python

Job description

Job Summary
The Senior SAP APMe Developer will serve as a hands-on technical contributor responsible for the design, development, integration, and support of SAP Agent Performance Management (APMe) solutions.
This role focuses on building and optimizing incentive compensation solutions, data processing, and reporting, while collaborating with cross-functional teams to deliver scalable, high-quality outcomes.
Experience with SAP Commissions (Callidus ICM) is preferred but secondary to strong APMe expertise.

Experience
• 5+ years of hands-on experience with SAP APMe (Agent Performance Management)
• Experience working in enterprise-scale implementations or support environments
• Background supporting compensation/incentive management systems

Required Skills
• Strong hands-on experience with SAP APMe (Agent Performance Management)
• Experience with APMe configuration and development
• Groovy scripting experience within APMe environments
• Strong SQL / PL-SQL development and data analysis skills
• Experience working with large datasets and performance optimization
• Ability to troubleshoot and resolve complex production issues
• Understanding of compensation / incentive management systems
• Strong technical documentation and communication skills

Nice-to-Have Skills
• Experience with SAP Commissions (Callidus ICM)
• Experience building:
○ Compensation rules
○ Commission calculations
○ Data processing workflows
• Experience integrating APMe / ICM with upstream and downstream systems
• Reporting experience (Jasper or similar tools)
• Experience with ETL tools (Informatica, DataStage, SSIS, etc.)
• Familiarity with scripting languages such as Python
• Experience working in onshore/offshore delivery models

Technology Stack
• SAP APMe (Agent Performance Management)
• Groovy scripting
• SQL / PL-SQL
• Data integration / ETL tools
• (Optional) SAP Commissions (Callidus ICM), reporting tools

Responsibilities
• Design, develop, and enhance SAP APMe solutions
• Configure and develop APMe compensation and incentive structures
• Develop and optimize SQL queries for data processing and reporting
• Support integrations between APMe and internal/external systems
• Troubleshoot and resolve production issues with focus on data accuracy and performance
• Analyze large datasets to validate outputs and improve efficiency
• Translate business requirements into scalable technical solutions
• Develop and maintain technical documentation
• Collaborate with offshore teams and provide technical guidance
• Support ongoing enhancements, reporting, and system improvements
• Follow best practices, compliance standards, and delivery timelines

Qualifications
• Strong technical foundation in SAP APMe development
• Ability to work independently in a fast-paced, delivery-focused environment
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills across technical and business stakeholders
• Detail-oriented with focus on data accuracy and scalable solutions
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