Digital Sol. Architect Senior Director

NTT DATA North America•Los Angeles, CA

19h•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.