Quick Overview
Job Description
Job Title: Senior IT Product Manager (Demand Planning) Location: Chicago, Illinois (3 days onsite) Duration: Long Term
We are seeking a Senior IT Product Manager Demand Planning to serve as the IT Product Owner for our global Integrated Business Planning IBP demand platforms In this role you will own the demand planning technology portfolio end to end shaping strategy with global business leaders leading delivery across North America and partnering closely with Demand Planning Supply Chain Commercial and Finance stakeholders to translate business objectives into scalable technology capabilities.
o Define demand planning technology strategy
o Own the product roadmap and backlog
o Deliver demand planning technology projects
o Manage the platform lifecycle
o Enable forecasting excellence
o Ensure data quality and integration
o Manage vendors and support partners
o Build and share expertise
Demand Planning Platforms and Technology
Hands-on experience with enterprise demand planning platforms SAS Viya is strongly preferred as it is our core platform substantive experience with comparable solutions such as SAS Visual Forecasting SAS Intelligent Planning SAP IBP Kinaxis o9 Solutions Blue Yonder JDA Logility or OMP will also be considered
Working knowledge of the SAS ecosystem for example SAS Viya administration concepts forecasting pipelines and model repositories SAS Visual Analytics reporting and the SAS 9 to Viya modernization path
Practical understanding of forecasting methods and how they are configured in a planning system including time series models causal and machine learning approaches demand sensing hierarchical forecasting and reconciliation and model selection and champion challenger evaluation
Fluency with forecast performance measurement and its drivers including MAPE WMAPE bias and forecast value add and the ability to tie platform capabilities to measurable accuracy improvement
Solid grounding in the data that feeds demand planning master data and product customer and location hierarchies shipment order and consumption history syndicated and point of sale data and promotional pricing and new product introduction inputs
Experience with enterprise integration between planning platforms and ERP data warehouse and cloud data environments including batch and API based interfaces and job scheduling
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