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SAP IBP Sustain Consultant

Tier4 Group
locationAtlanta, GA, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job DescriptionSAP IBP Sustain Consultant

Location: Remote – Anywhere in the U.S. (Must Support EST Hours)
Start Date: ASAP
Type: Contract (3-month terms, intent to renew through December 2026)

We are seeking an experienced SAP IBP Sustain Consultant to support a large-scale SAP IBP Time Series Optimizer initiative within a complex enterprise supply planning environment.

This is a fully remote position (no travel required) focused on sustainment and optimization support in a customized SAP IBP landscape.

⚠️ This role is specifically focused on Time Series Optimizer within Supply Planning (Network Optimization using linear programming) — not demand planning.

The consultant must be comfortable working in a fast-paced environment, stepping into an evolving solution, and operating with a high level of autonomy.

Key Responsibilities:

  • Analyze SAP IBP Time Series Optimizer results in a supply planning context

  • Troubleshoot unexpected solve results (configuration and data-related)

  • Identify root causes related to master data, key figures, integration, or model logic

  • Support deployment cycles and ongoing sustainment efforts

  • Collaborate cross-functionally with IT, business users, and technical teams

  • Translate optimization outputs into clear business insights

Required Qualifications:

  • 5+ years of hands-on SAP IBP Time Series Optimizer experience (implementation and/or sustainment)

  • Strong experience in supply planning optimization (not demand planning)

  • Proven support of TS Optimizer deployments

  • Experience working with IBP time series–based extractors and staging tables

  • Demonstrated ability to troubleshoot and analyze optimization results

  • Comfortable operating in customized, non-standard SAP IBP environments

  • Must be able to work East Coast business hours (8:30 AM EST start)

Project Environment

  • Enterprise-wide SAP transformation initiative

  • Customized configuration and complex constraint modeling

  • Non-standard planning architecture

  • Multiple deployment cycles scheduled through 2026

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