{"id":2673581,"url":"https://alion.io/job/ltm-senior-it-product-manager","title":"Senior IT Product Manager","company":{"id":9353,"name":"LTM","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":79,"open_postings":166,"ghost_share":0,"stale_share":0.843,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United 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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\nDefine demand planning technology strategyOwn the product roadmap and backlogDeliver demand planning technology projectsManage the platform lifecycleEnable forecasting excellenceEnsure data quality and integrationManage vendors and support partnersBuild and share expertiseDemand Planning Platforms and TechnologyHandson 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 consideredWorking 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 pathPractical 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 championchallenger evaluationFluency 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\nSolid grounding in the data that feeds demand planning master data and product customer and location hierarchies shipment order and consumption history syndicated and pointofsale data and promotional pricing and new product introduction inputs\nExperience with enterprise integration between planning platforms and ERP data warehouse and cloud data environments including batch and APIbased interfaces and job 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