Digital Manufacturing Architect, Senior Manager/Associate Director

Accenture•Austin, TX

13d

About The Position

Accenture’s Supply Chain & Engineering practice helps manufacturers modernize plant-floor systems, connect operational technology (OT) and information technology (IT), and use operational data to improve manufacturing. The Digital Manufacturing Architect assesses clients’ manufacturing technology landscapes and designs target-state architectures and roadmaps that connect plant-floor systems with enterprise platforms and cloud services. The role works in production facilities with engineering, operations, IT, and executive stakeholders, translating operational needs into solutions that can be implemented in live manufacturing environments. The architect leads technical decisions and delivery across the full lifecycle, from requirements and architecture through commissioning and hypercare. This includes addressing brownfield constraints, production uptime, legacy dependencies, and cybersecurity considerations, as well as advising clients on vendors, platforms, and build-versus-buy choices. Travel may vary up to 75%.

Requirements

At least 8 years working in or with manufacturing environments, with direct exposure to plant-floor operations, production systems, and industrial infrastructure.
At least 5 years designing or delivering integrated cloud and edge platform architectures for digital manufacturing use cases.
Hands-on experience deploying AWS, Azure, or GCP solutions in industrial contexts.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an associate degree with a minimum of 6 years of work experience.

Nice To Haves

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, and semantic layers, and how these foundations enable AI-driven manufacturing use cases.
Experience commissioning digital manufacturing use cases on plant floors, leading factory acceptance testing, or managing integration across brownfield and greenfield environments.
Experience with microservices architectures, containerization such as Docker and Kubernetes, or serverless computing patterns.
Demonstrated experience deploying or piloting AI/ML solutions in manufacturing contexts.
Ability to communicate complex technical architectures clearly to plant engineers, IT leadership, and executive stakeholders.

Responsibilities

Assess manufacturing technology landscapes, including ERP, LIMS, EAM, MES, SCADA, and historian systems, and define target-state architectures bridging IT and OT.
Design platform architectures across ISA 95 levels, covering connectivity from the shop floor through the enterprise and including edge, on-premises, and cloud components.
Build digital manufacturing roadmaps grounded in technical feasibility and sequence investments around 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-versus-buy tradeoffs.