Healthcare Payor Solutions Architect- BPS
Sierra Systems, An Ntt Data Company
Commercial Manufacturing CPG Solutions Architect
We are currently seeking a Commercial Manufacturing CPG Solutions Architect to join our team in Dallas, Texas (US-TX), 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.
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
- 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.
- 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.
- 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.
- 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.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.
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