Digital Manufacturing Architect, Senior Manager/Associate Director

We Are:

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com .

Accenture's Supply Chain & Engineering practice works at the intersection of operational technology and digital manufacturing. We help manufacturers modernize their plant floor systems, connect their OT and IT environments, and unlock value from the data their operations already generate. Our teams work directly in production facilities alongside controls engineers, plant managers, and IT leadership to design and deliver solutions that improve throughput, reduce downtime, and build the digital infrastructure that modern manufacturing requires.

You Are:

A hands-on technical architect who has spent time on plant floors and in control rooms. You're as fluent in the language of IT and OT architecture, from ERP, LIMS, MES, SCADA, PLCs and historian systems as you are in designing modern edge to cloud integrated architectures. You understand how data flows across ISA 95 levels, and you've solved the hard problems that come with brownfield environments: aging infrastructure, proprietary systems, and the organizational divide between IT and OT. You know how to translate business requirements into technical architectures that actually work in production. You communicate clearly with plant engineers, IT teams, and executive stakeholders alike, not because you're a "visionary," but because you've built the credibility that comes from delivering real solutions in real facilities.

The Work:

• Assess clients' current manufacturing technology landscapes, including sustems such as ERP, LIMS, EAM, MES, SCADA and/or historian, and define target state architectures that bridge IT and OT
• Design platform architectures across ISA 95 levels, addressing connectivity from the shop floor through the enterprise, including edge, on premise, and cloud components
• Build digital manufacturing roadmaps grounded in technical feasibility, sequencing investments against operational constraints like production uptime, legacy system dependencies, and cybersecurity requirements
• Translate plant floor operational needs into solution designs that engineering, IT, and business stakeholders can align on
• Lead delivery teams through full lifecycle implementation, from requirements and design through commissioning and hypercare in live production environments
• Serve as the technical authority on engagements, guiding clients through vendor selection, platform decisions, and build vs. buy tradeoffs

Travel Requirements:

Travel is required for this role and could vary up to 75%

Here’s what you Need:

• Minimum 8 years working in or with manufacturing environments, with direct exposure to plant floor operations, production systems, and industrial infrastructure
• Minimum 5 years designing or delivering integrated cloud and edge platform architectures enabling Digital manufacturing use cases
• Hands-on experience deploying AWS, Azure, or GCP solutions in industrial contexts

Bonus points if:

• Familiarity with OT cybersecurity principles, including network segmentation, Purdue Model concepts, and IEC 62443 awareness
• Experience building business cases and presenting transformation recommendations to senior client leadership
• Strong understanding of modern data architecture including Unified Namespace (UNS), data products, semantic layers and how these foundations enable AI-driven manufacturing use cases
• You've commissioned Digital manufacturing use cases on plant floors, led factory acceptance testing, or managed integration across both brownfield and greenfield environments
• Proven experience with microservices architectures, containerization (Docker, Kubernetes), or serverless computing patterns
• Demonstrated experience deploying or piloting AI/ML solutions in manufacturing contexts