Commercial Manufacturing CPG Solutions Architect

NTT DATA Services • Dallas, TX

1d • Hybrid

About The Position

NTT DATA Services is building the next era of Business Process Services—AI-native, agentic BPaaS that fuses deep process expertise with LLMs, AI agents, and data-first design. This is services-as-software, built for scale, speed, and intelligence. 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.

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 Haves

• 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.

Responsibilities

• 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.

Benefits

• NTT DATA is an equal opportunity employer.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed