Supply Chain 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, logistics, and industrial operations 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 & Supply Chain Domain Architect with deep experience across factory operations, logistics, procurement, planning, and digital manufacturing. In this role, you will design end-to-end AI-native process architectures that modernize legacy industrial operations into intelligent, autonomous, agent-driven ecosystems. You will collaborate with client leaders, engineers, and product teams to map complex operational landscapes and architect scalable future-state solutions.

Key Responsibilities

Manufacturing & Supply Chain Architecture

• Lead domain architecture for Manufacturing Operations, Supply Chain Planning, Procurement, Logistics, Distribution, and Aftermarket Services.
• Architect future-state processes using AI agents across areas such as:
  • Production planning and scheduling
  • Inventory optimization
  • Supplier management & procurement orchestration
  • Quality management & defect intelligence
  • Warehouse & transportation operations
  • Shop-floor automation and digital work instructions
• Translate domain regulations, safety constraints, and operational requirements into scalable AI-driven workflows.

AI-Native BPS / BPaaS Design

• Design modular BPS/BPaaS solutions leveraging agentic platforms, autonomous planning engines, and decision-support systems.
• Collaborate with ontology, ML, and engineering teams to define data models, event structures, and operational ontologies for manufacturing and supply chain use cases.
• Create reusable domain patterns and accelerators for faster transformation across industrial clients.

Client Engagement & Delivery

• Conduct deep discovery of client operations, supply chain flows, plant processes, and manufacturing KPIs.
• Present architectural designs, transformation plans, and AI-driven value cases to C-level leaders, including COOs, CSCOs, and Heads of Manufacturing.
• Guide clients through AI-native adoption, including change management, operational governance, and automation strategy.

Strategic Roadmapping

• Align industry priorities—resiliency, cost efficiency, sustainability—with platform capabilities and transformation roadmaps.
• Shape long-term modernization strategies grounded in digital twins, predictive intelligence, autonomous operations, and Industry 4.0/5.0 principles.

Required Skills & Experience

• 10+ years in Manufacturing or Supply Chain, ideally with domain architecture or process transformation experience.
• Deep understanding of manufacturing and logistics operations, including production lifecycle, procurement, inventory, planning, order management, and quality/process control.
• Demonstrated experience designing target operating models or orchestrating digital transformation in manufacturing or supply chain environments.
• Strong understanding of automation strategies, digital supply chain, Industry 4.0 technologies, and BPaaS models.
• Familiarity with AI/ML concepts, LLMs, agent orchestration, or predictive analytics (even if not hands-on).
• Strong client-facing communication skills, with the ability to simplify complexity and influence senior executives.
• Ability to work across multifunctional teams including engineering, product, data science, and operations leadership.

Preferred Qualifications

• Experience with major manufacturing or supply chain platforms (SAP S/4HANA, SAP IBP, Oracle SCM, Infor, Manhattan, Blue Yonder, Siemens, PTC, Dassault).
• Understanding of plant-floor technologies (MES, SCADA, IoT platforms) and industrial data models.
• Knowledge of sustainability, ESG reporting, circular supply chain principles, or regulatory frameworks in manufacturing.
• Exposure to digital twin architectures, predictive maintenance models, or advanced planning systems.