Healthcare Payor Solutions Architect- BPS

Manufacturing & CPG Domain Architect

NTT DATA Services | Full-Time | Hybrid/Remote**

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 Commercial Manufacturing CPG Solutions Architect to join our team in Dallas, Texas (US-TX), United States (US).

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, 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.

Preferred Qualifications

• 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.