Job Description
Req ID: 334573 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital BPS Solution Architect Lead to join our team in the United States (US). Manufacturing & CPG Domain Architect NTT DATA Services | Full-Time | Hybrid/Remote** At NTT DATA Services, we know that with the right people on board, anything is possible. We’re 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 not outsourcing 2.0—it’s services-as-software, built for scale, speed, and intelligence. Join our founding team and help transform industries like manufacturing, CPG, and global supply chains with solutions that are 40% more efficient and infinitely more adaptive. If you want to build what the market hasn’t seen yet, this is it. Overview 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. Key Responsibilities Manufacturing & CPG Domain Architecture 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. AI-Native BPS / BPaaS Design 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. Client Engagement & Delivery 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. Strategic Roadmapping 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. Required Skills & Experience 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