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Commercial Manufacturing CPG Solutions Architect

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NTT DATA

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Location:
United States , Dallas

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a Manufacturing & Consumer Packaged Goods (CPG) Domain Architect with deep expertise across product lifecycle, plant operations, demand/supply planning, commercialization, and distribution. In this role, you will design end-to-end AI-native process architectures that modernize CPG and manufacturing environments into intelligent, autonomous, agent-driven ecosystems. You will collaborate with client executives, operations leaders, engineers, and product teams to map complex operational landscapes and shape the future-state blueprint.

Job Responsibility:

  • Lead architecture across end-to-end CPG value streams, including: Demand forecasting & planning, Supply planning & S&OP/IBP cycles, Procurement & supplier orchestration, Manufacturing operations (process & discrete), Packaging, labeling, and compliance, Quality management & defect analytics, Warehouse, distribution, and transportation, Trade promotion management (TPM) & retail execution
  • Design AI-native workflows for CPG‑specific needs such as: SKU proliferation & portfolio complexity, Short shelf-life inventory and freshness optimization, Batch/lot traceability and recall readiness, Raw material constraints and commodity volatility, Seasonal demand swings and promotional elasticity
  • Translate industry regulations, safety standards, and quality requirements into scalable data-driven and agent-driven architecture
  • Architect modular, agentic platforms to automate planning, production, logistics, and quality workflows
  • Collaborate with ontology, ML, and engineering teams to define CPG ontologies, master data structures, and event-driven operational models
  • Build reusable domain accelerators for CPG manufacturers that reduce implementation time and improve scalability
  • Drive deep discovery with manufacturing, supply chain, and commercial operations leaders to assess current-state maturity
  • Present architecture recommendations, business cases, and AI‑native transformation roadmaps to COOs, Chief Supply Chain Officers, Heads of Manufacturing, Quality, and Commercial Operations
  • Guide cross-functional teams through adoption of AI-powered process modernization and autonomous operations
  • Build transformation roadmaps aligned to industry priorities such as: Smart manufacturing & Industry 4.0/5.0, Resilient supply chains, Sustainability and waste reduction, Data harmonization and process interoperability
  • Develop multi-year strategies connecting operational KPIs—forecast accuracy, fill rate, OTIF, yield, waste, OEE—to automation and agent orchestration journeys

Requirements:

  • 10+ years in Manufacturing or CPG, with strong domain architecture or process transformation experience
  • Deep understanding of operations in CPG: production, materials, planning, commercialization, quality, logistics, and customer fulfillment
  • Experience designing target operating models, data architectures, or modernization strategies within CPG or industrial manufacturing
  • Strong knowledge of digital manufacturing, supply chain technologies, Industry 4.0 capabilities, and BPaaS or automation-driven service models
  • Familiarity with AI/ML concepts, intelligent planning, digital twins, LLM-based orchestration, and decision automation (even if not hands-on)
  • Excellent client-facing communication and executive storytelling skills, especially with operational and supply chain leaders
  • Ability to work with engineering, product, data science, and operations teams to translate domain needs into technical capabilities

Nice to have:

  • Experience with leading CPG/manufacturing platforms: SAP S/4HANA, SAP IBP, Oracle SCM/ERP, Blue Yonder, Manhattan, Infor, Kinaxis, o9, Siemens, Dassault, PTC
  • Familiarity with MES, SCADA, IoT platforms, and plant-floor integration
  • Understanding of sustainability frameworks, carbon reporting, circular packaging, and waste reduction initiatives
  • Exposure to consumer insights and retail execution data (IRI, NielsenIQ, POS-level analytics)
  • Experience operating in fast-moving consumer goods (FMCG), food & beverage, beauty/personal care, or household products

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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