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Supply Chain & Engineering – Digital Manufacturing & Operations: Automation Manager

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Accenture
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    IT Consultant, Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Role:

Supply Chain & Engineering – Digital Manufacturing & Operations:
Automation Manager

Location:

UK (with expected travel)

Career Level:

Level 6 (Senior Manager), Level 7 (Manager), Salary:
Competitive, plus benefits. As a team:
Within Supply Chain & Engineering, Automation Managers within our Digital Manufacturing and Operations domain help design and implement solutions that integrate and automate strategy, technology, data and people to enable process improvements that build value for clients.

Accenture is a company that will allow you to learn, grow and advance in an innovative culture that flourishes with shared success, innovative ways of thinking and enables boundaryless opportunities that can shape your career in new and exciting ways.

The Opportunity Accenture is looking to recruit a Digital Manufacturing & Operations Automation Manager within our Supply Chain & Engineering consulting practice in the UK or Ireland with a focus on designing and implementing automated manufacturing operations oriented applications and technologies that enable operational efficiency and effectiveness. We focus on areas such as manufacturing execution, factory automation and robotics, asset and equipment maintenance, connected worker, virtual and augmented reality, sophisticated analytics for operational and strategic decision making, and industrial IoT – all operating within a robust and secure infrastructure – both on-premise and in the Cloud.

This role is focused on helping our clients achieve their ambitions for digital transformation whilst delivering greenfield and brownfield factory / plant modernisation programmes. You will be working closely with technology and consulting colleagues across our Manufacturing and Operations domain throughout the lifecycle of a project, right from initial scoping to design and subsequent implementation, testing and support.

We digitise, optimise and transform our clients’ traditional ways of planning, producing and shipping to be more agile and  this role you will:

Help clients target and deliver value through the digital transformation of their factory / plant / infrastructure operations

Help shape, sell and deliver projects that create tangible value – including current state assessments, seeing opportunities to increase efficiency, and developing application & technology enabled solutions and providing input into business cases and journey plans, to achieve the right value led outcomes for the client.

Design the application technology solutions to enable future ways of working – new operating models, business functions and processes, whilst working closely with business strategists, process owners and domain experts.

Use digital technologies to enable clients’ future-state business capabilities and drive targeted business outcomes.

Develop enduring, trust-based relationships with people at all career levels, both professionally and personally, internally, and externally. This includes receiving and providing (based on experience) coaching and career development across the IX practice.

Support the sales process from origination to successful closing (including offering fine tuning, solution shaping, proposal preparation, client presentations).

The Person The successful candidate will be a hands-on process / technology practitioner with good knowledge and experience in designing and implementing solutions (processes and supporting technical infrastructure) in either Discrete or Process Manufacturing environments.

We are seeking motivated professionals who are driven by the ability to address client problems with insights and innovation, and who thrive in a highly collaborative environment where team success takes priority over individual metrics.

We are looking…
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