Senior Manager – Supply Chain & Engineering – Physical AI

Overview

In this role, you will lead the design and delivery of Physical AI solutions that connect Digital Twins, AI agents, and operational systems to real-world assets, enabling autonomous, intelligent physical operations. You’ll advise senior client leaders, shape UKI’s Physical AI agenda, and build high-performing teams across data, AI, and operations. The work spans end-to-end solution design, delivery oversight, and collaboration with global AI assets to scale the proposition. This is a chance to influence how industrial operations are reinvented with AI.

Pay / Benefits

• 30 days vacation per year
• private medical insurance
• 3 extra days leave per year for charitable work

Responsibilities

• Define and lead the UKI point of view on Physical AI and agentic operations, embedding autonomous systems, vision AI, robotics, Digital Twins, AI agents, and orchestration across client engagements
• Act as senior adviser to COOs, VPs of Operations, Chief Digital Officers and Supply Chain leaders, translating AI potential into roadmaps and operating models
• Lead end-to-end Physical AI and agentic operations solutions from data infrastructure to edge deployment and OT/IT integration
• Sponsor and direct complex, multi-disciplinary programmes spanning data science, engineering, and organisational change
• Originate and shape commercial opportunities across asset-intensive sectors; design value cases and engage executives
• Collaborate with Accenture’s Data & AI ecosystem and global hubs to scale UKI propositions; engage with technology partners (NVIDIA, Microsoft, AWS, Siemens, Rockwell)
• Publish and speak to promote Accenture’s Physical AI and operational intelligence agenda

Key requirements

• 10 to 15 years in data science, ML, AI engineering or related fields with exposure to industrial/supply chain environments
• Hands-on Physical AI experience: CV, analytics for assets, industrial IoT, edge AI, Digital Twins connected to processes; ability to connect AI agents and orchestration engines with operations
• Fluency in supply chain and operations to credibly engage with leaders and translate AI into value
• Technical depth in modern AI/ML platforms (PyTorch, TensorFlow, Azure ML, AWS SageMaker), data pipelines, integration with OT/SCADA/ERP; familiarity with NVIDIA platforms, edge computing, or robotics frameworks is a plus
• Experience working across global Data & AI ecosystems, leveraging hubs and reusable assets
• Delivery leadership: manage cross-functional programmes and develop data/AI teams
• Commercial acumen with track record in propositions and value cases; cross-industry experience valued
• Strong communication to non-technical executives; relevant degree in CS/Engineering/Math/Data Science or equivalent; advanced AI/ML credentials are a plus

• Executive-level communication
• Strategic thinking
• Cross-functional collaboration
• PyTorch
• TensorFlow
• Azure ML

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