AI summary
Lead the functional aspects of forecasting engagements by mapping current forecasting processes, identifying improvements, and implementing solutions including AI-powered forecasting tools. Collaborate with business teams on requirements, process changes, and evaluate forecasting outputs against business goals.
Job Description
Role: Supply Chain Forecasting Lead
Duration: Long Term
Location: Remote, United States
Start Date: ASAP
Description:
Supply Chain Forecasting Lead with around 10–15 years of experience, with a strong background in demand forecasting, business process improvement and forecasting solution implementation.
Experience:
- Hands on experience in understanding and mapping existing forecasting processes, identifying gaps and working with business teams on process improvements and reengineering.
- Strong experience in business requirements gathering, solution analysis, functional design and implementation.
- Good understanding of forecasting approaches and the ability to assess what would work best for different business requirements.
- Experience in working with forecasting tools and solutions such as SAP IBP, Oracle, Blue Yonder, o9, or similar platforms. The expectation is not just tool knowledge, but experience in evaluating, fit gap analysis and implementing forecasting solutions.
- Exposure to AI ML based forecasting, with experience working alongside data science and technical teams.
- Experience in handling large volumes of transactional data, understanding data dependencies and working with enterprise applications.
Responsibilities:
- Lead the functional aspects of the forecasting engagement, from initial assessment through solution implementation.
- Work with the customer to agree on the forecasting requirements, process changes and expected outcomes.
- Evaluate solution options and provide functional inputs to the solution design, including data and integration requirements.
- Review and validate the forecasting solution against business scenarios, including the quality and reliability of forecasting outputs.
- Gap analysis between the expected and actual forecasting results and recommend
About the job
- Posted on
- Oct 16, 2026
- Job type
- Contract
- Location
- Remote, OR, usRemote
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