SAP IBP Consultant

Job Title: SAP IBP Consultant (TS Optimizer & Data Analytics)
Location: Remote USA (EST/CST preferred) – Local Atlanta residents highly desired
Job Type: Contract, 3 months+ (strong potential for extension)
Work Schedule: Full-time, 40+ hours/week – Must be available for occasional evening/weekend work, including cutover support on May 30th weekend
Travel: Monthly travel to Atlanta, GA required for non-local candidates
Pay: Competitive hourly rate + OT pay available

Position Overview

Our global manufacturing client is seeking a highly skilled SAP IBP Consultant to join their team for a 3-month+ contract engagement. This role will be critical in supporting the SAP IBP environment, with a specific focus on the TS Optimizer. The ideal candidate will have hands-on experience in time series optimization, a solid understanding of supply chain planning concepts, and demonstrate strong data analytics skills, especially using Python.

Given recent updates, we are open to candidates with moderate time-series optimization experience but with strong data analytics expertise for a more junior role in the team, alongside the senior position.

This is a fantastic opportunity to contribute to a high-impact implementation with a dynamic team and to drive significant improvements in the client’s global supply chain.

Key Responsibilities

• SAP IBP TS Optimizer: Provide ongoing support for the SAP IBP deployment, with a particular focus on the TS Optimizer module.

• Issue Resolution: Independently analyze, troubleshoot, and resolve issues related to SAP IBP functionality, data, and integrations.

• Optimization: Apply a strong understanding of supply chain concepts, constraints, and cost-based optimization to improve the planning process and address challenges.

• Solution Understanding: Quickly ramp up on existing SAP IBP solution designs and contribute to continuous improvement efforts.

• Cross-functional Collaboration: Work closely with the project team and stakeholders to ensure the deployment is successful and effective.

• Production Cutover Support: Be available to support a critical production cutover during the weekend of May 30th and provide after-hours support as needed.

• Mentorship: Provide guidance and support to junior consultants and help improve overall team performance.

Required Qualifications

• Experience: Proven experience supporting at least one full SAP IBP deployment, specifically with the TS Optimizer module.

• Problem-Solving Skills: Demonstrated ability to independently analyze and resolve complex issues related to SAP IBP functionality and data.

• Supply Chain Knowledge: Solid understanding of core supply chain concepts, including constraints, cost-based optimization, and time series forecasting.

• Fast Learner: Ability to quickly understand existing SAP IBP solution landscapes and contribute to their continuous improvement.

• Project Experience: Proven track record of thriving in fast-paced, project-oriented environments.

• Availability: Full availability during standard working hours (Monday – Friday, 8 am – 5 pm ET) with occasional after-hours or weekend work for production support as needed.

Preferred Qualifications

• Integration Experience: Familiarity with integration between SAP IBP and SAP S/4HANA or other upstream/downstream systems (e.g., master data, transactional data).

• Customization Skills: Proficiency in designing and customizing SAP IBP planning views to meet business requirements.

• Analytical Skills: Strong Excel and analytical skills, with the ability to interpret planning results, analyze trends, compare scenarios, and communicate findings clearly.

• Data Analytics: Proficiency in Python for advanced data analytics and optimization, especially in the context of time-series forecasting and optimization tasks.

Additional Information

• Work Hours: Full-time commitment (40+ hours/week), with occasional evening and weekend work required, particularly during the cutover weekend (May 30th).

• Travel: Monthly travel to Atlanta, GA required for non-local candidates.

• Compensation: Competitive hourly rate + overtime pay available.

We are particularly seeking candidates with a deep understanding of time series optimization and data analytics, and we are open to considering candidates with moderate experience in time series optimization who excel in data analysis using Python for the junior position.

If you are passionate about SAP IBP, supply chain optimization, and data analytics, and you’re looking for a high-impact opportunity, apply now!