Senior Manager - Supply Chain & Engineering - Physical AI

Accenture; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

30 days vacation

Private medical insurance

Volunteer days

Job summary

Accenture UK in London seeks a Senior Manager for Physical AI to lead the convergence of AI, data, and physical operations within Supply Chain and Engineering. You will shape strategy, build teams, and drive complex engagements across industrial sectors.

You will partner with executive stakeholders, craft roadmaps, and deliver end-to-end AI-enabled solutions linking Digital Twins, AI agents, and edge deployments, enabling autonomous operations and measurable value.

Qualifications

• 10 to 15 years in data science, ML, AI engineering or related disciplines.
• Hands-on understanding of Physical AI including CV, predictive analytics for physical assets, robotics or industrial IoT.
• Experience with modern AI/ML platforms and data architectures; integration with OT/ERP.
• Delivery leadership across cross-functional programmes and senior stakeholder management.

Responsibilities

• Lead Physical AI and agentic operations leadership in UKI, defining point of view and capabilities.
• Advise COOs, VPs of Operations, and Supply Chain leaders on roadmaps and value cases.
• Design end-to-end Physical AI solutions connecting Digital Twins, AI agents, and OT/IT systems.

Skills

Data science

Machine learning

AI engineering

Computer vision

Robotics integration

Industrial IoT

Digital Twins

Edge AI

OT/IT integration

NVIDIA platforms

Delivery leadership

Commercial acumen

Education

Degree in CS/Engineering/Math/Data Science

Tools

PyTorch

TensorFlow

Azure ML

AWS SageMaker

Data pipelines

Edge computing

Robotics frameworks

Job description

Job Description

Job Role: Senior Manager - Supply Chain & Engineering - Physical AI

Location: London

Career Level: Senior Manager (CL6)

Salary: Competitive, plus benefits.

The Opportunity:

We are seeking a Senior Manager - Physical AI Leader to join our UKI Supply Chain and Engineering Data and AI team. This is a rare opportunity to sit at the convergence of Data and AI, physical operations, and supply chain reinvention, shaping how industrial and operational enterprises move from reactive, siloed systems to intelligent, autonomous and physically aware value chains.

You will bring deep expertise in applied AI spanning data engineering, machine learning, computer vision, robotics integration or industrial IoT, combined with a strong appreciation for how physical supply chain, manufacturing and operations environments work. You will lead the design and delivery of Physical AI solutions that connect Digital Twins, AI agents, orchestration engines, robotics and operational systems to real-world assets, processes and decision-making. In doing so, you will enable more intelligent, increasingly autonomous physical operations and help clients understand and realise the transformative potential of AI in their physical operations.

This is a senior, client-facing role requiring both technical credibility and the ability to communicate vision and value to executive stakeholders. You will build and lead high-performing teams, originate new opportunities and be a recognised voice on Physical AI within the practice and the market.

Why this role:

Join a practice at the leading edge of value chain and AI transformation. You will have the platform to shape a distinct and fast-growing Physical AI and agentic operations agenda, work across some of the most complex industrial and operational environments in the UK and internationally, and draw on Accenture's global AI research, technology ecosystem and delivery capability. You will be closely connected to Accenture's broader Data & AI organisation, leveraging our global hubs, Centres of Excellence, assets and offerings while helping to shape and scale our UKI proposition in this space.

In this role you will:

• Physical AI and agentic operations leadership: Help define and lead the UKI point of view on Physical AI and the agentic enablement of physical operations, including autonomous systems, vision AI, robotics and cobotic integration, Digital Twins, AI agents, orchestration engines, and AI-driven asset and process intelligence, embedding this across client engagements and propositions.

• Client advisory: Act as a trusted senior adviser to COOs, VPs of Operations, Chief Digital Officers and Supply Chain leaders, translating Physical AI potential into practical roadmaps, investment cases and operating model change.

• Solution design: Lead the design of end-to-end Physical AI and agentic operations solutions, connecting Digital Twins, AI agents, orchestration engines, robotics and operational systems- from data infrastructure and model development through to edge deployment, integration with OT and IT systems, and operational adoption-to support decision-making and increasingly autonomous operations.

• Delivery leadership: Sponsor and lead complex, multi-disciplinary programmes spanning data science, engineering, operations technology and organisational change, maintaining focus on value realisation and client outcomes.

• Commercial growth: Originate and shape opportunities across industrial, consumer goods, energy, life sciences and other asset-intensive sectors; lead proposition development, value case design and executive engagement.

• Ecosystem and capability: Work closely with Accenture's broader Data & AI organisation and global network of hubs and Centres of Excellence, leveraging and contributing to our assets, offerings and delivery capabilities to shape and scale a differentiated UKI Physical AI and agentic operations proposition. Collaborate with technology partners including NVIDIA, Microsoft, AWS, Siemens, Rockwell and others to bring differentiated capabilities to clients, while building the AI and data talent pipeline within the Value Chain practice.

• Thought leadership: Publish, speak and represent Accenture's Physical AI and operational intelligence agenda externally, building market profile and practitioner community.

What's in it for you

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.

Closing Date for Applications: 30/11/2026

Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

#LI-EU

Qualification

We are looking for experience in the following skills:

You are a credible, senior Data and AI practitioner who combines deep technical knowledge with an understanding of physical operations, supply chain or manufacturing environments. You can lead client conversations at the executive level, and you build trust through both expertise and delivery track record.

• Experience: 10 to 15 years in data science, machine learning, AI engineering or related disciplines, with significant exposure to industrial, operational or supply chain environments through consulting, technology or industry roles.

• Physical AI and agentic operations expertise: Hands‑on understanding of Physical AI applications such as computer vision, predictive and prescriptive analytics for physical assets, robotics or autonomous systems, industrial IoT, edge AI deployment, and Digital Twins connected to real-world processes. Experience connecting AI agents, orchestration engines and operational systems to support decision‑making and increasingly autonomous operations is highly valued.

• Supply chain and operations fluency: Practical understanding of manufacturing, logistics, procurement or operational processes, sufficient to engage credibly with operational leaders and translate AI capability into value.

• Technical depth: Experience with 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.

• Accenture AI ecosystem connectivity: Ability to work effectively across a global Data & AI organisation, mobilising hubs, Centres of Excellence, reusable assets and offerings, and translating global capability into a scalable and differentiated UKI proposition.

• Delivery and leadership: Proven ability to lead complex, cross‑functional programmes and senior stakeholder relationships. Experience managing and developing data and AI teams.

• Commercial acumen: Track record of shaping compelling propositions and value cases, identifying growth opportunities and contributing to client development activities.

• Sector breadth: Cross‑industry experience is valued. Relevant sectors include Industrials and Manufacturing, Consumer Goods, Energy and Utilities, Life Sciences, Logistics and Retail.

• Communication and credentials: Exceptional ability to communicate technical concepts to non‑technical senior audiences. A relevant degree in Computer Science, Engineering, Mathematics, Data Science or equivalent; advanced qualifications or recognised AI and ML credentials are an advantage.

Locations

London

Additional Information

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About Accenture

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