Senior Manager - Supply Chain & Engineering, Physical AI

About the role

Accenture is seeking a Senior Manager (CL6) for its UKI Supply Chain and Engineering Data and AI team, based in London. The role sits at the intersection of data and AI, physical operations and supply chain, leading Physical AI solutions that connect Digital Twins, AI agents, orchestration engines, robotics and operational systems to real-world assets. It is a senior, client-facing position requiring technical credibility and the ability to communicate to executives.

Key responsibilities

• Help define and lead the UKI point of view on Physical AI and agentic operations, including autonomous systems, vision AI, robotics, Digital Twins and AI agents, across client engagements.
• Advise COOs, VPs of Operations, Chief Digital Officers and Supply Chain leaders, turning Physical AI potential into roadmaps, investment cases and operating model changes.
• Lead end-to-end solution design, from data infrastructure and model development through edge deployment and integration with OT and IT systems.
• Sponsor and lead complex, multi-disciplinary programmes covering data science, engineering, operations technology and organisational change.
• Originate opportunities in industrials, consumer goods, energy, life sciences and other asset-intensive sectors, and lead proposition development and executive engagement.
• Work with technology partners such as NVIDIA, Microsoft, AWS, Siemens and Rockwell, and build the AI and data talent pipeline within the practice.
• Publish, speak and represent Accenture's Physical AI agenda externally.

Required profile

• 10 to 15 years in data science, machine learning, AI engineering or related fields, with exposure to industrial, operational or supply chain environments.
• Hands-on understanding of Physical AI applications such as computer vision, robotics, industrial IoT, edge AI and Digital Twins.
• Practical understanding of manufacturing, logistics, procurement or operational processes.
• Proven ability to lead complex programmes, manage and develop data and AI teams, and communicate technical concepts to senior non-technical audiences.
• A relevant degree in Computer Science, Engineering, Mathematics, Data Science or equivalent; advanced AI/ML credentials are an advantage.
• Flexibility to spend time onsite with clients and partners.

Required skills

• Modern AI and ML platforms such as PyTorch, TensorFlow, Azure ML and AWS SageMaker.
• Data architecture and pipelines, and integration with OT, SCADA or ERP systems.
• Familiarity with NVIDIA platforms, edge computing or robotics frameworks is a strong advantage.

What we offer

• Competitive basic salary plus an extensive benefits package.
• 30 days vacation per year, private medical insurance and 3 extra days off per year for charity.