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Digital Sol. Architect Senior Director

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: NTT DATA, Inc.
Full Time position
Listed on 2026-03-06
Job specializations:
  • Manufacturing / Production
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below

NTT DATA is seeking a Digital Sol. Architect Senior Director to join our team in Los Angeles, California (US-CA), United States. We are currently hiring a Manufacturing & Supply Chain Domain Architect.

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 Road mapping
  • 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.
  • 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/4

    HANA, 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.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please . If you'd like more information on your EEO rights under the law, please . For Pay Transparency information, please .

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Position Requirements
10+ Years work experience
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