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For Companies At a Glance
- Tasks: Lead transformative AI projects in smart manufacturing and optimise industrial processes.
- Company: Join a prestigious consulting firm driving innovation in Digital Manufacturing.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of Industry 4.0, shaping the future of manufacturing with cutting-edge technology.
- Qualifications: Experience in AI initiatives, strong stakeholder management, and a deep understanding of data architectures required.
- Other info: This role offers a unique chance to influence major global enterprises.
The predicted salary is between 43200 - 72000 £ per year.
Consulting Point is working with a prestigious consulting organisation to recruit an accomplished Industrial AI Lead Consultant to join a rapidly expanding Digital Manufacturing practice. This is a rare opportunity to help major global enterprises transform how they design, operate, and optimise their industrial processes through cutting-edge AI and data strategies. This role is ideal for a forward-thinking leader who combines deep industrial domain knowledge with technical excellence in data, AI, and automation. You will shape and lead high-impact transformation projects for clients across sectors such as manufacturing (aerospace, defence, automotive, life sciences, and FMCG) — driving operational efficiency, business agility, and innovation.
Key Responsibilities:
- Lead Industrial AI Transformations: Shape and deliver end-to-end AI and data strategies across digital engineering and manufacturing environments.
- Assess Data Maturity: Conduct capability assessments and develop bespoke roadmaps that align data maturity with strategic outcomes and Industry 4.0 imperatives.
- Advise at Executive Level: Provide guidance to senior stakeholders on leveraging AI to enable smarter operations and embed a data-first culture.
- Drive Innovation and Growth: Develop go-to-market strategies, thought leadership, and new service offerings to meet evolving industry demands.
- Scale Technical Delivery: Architect robust AI/ML solutions using cloud platforms (AWS, Azure), integrating platforms such as Palantir, Cognite, or C3 AI.
- Enable Organisational Excellence: Design data-centric teams and governance structures to support sustainable AI adoption.
- Advance IIoT Integration: Lead initiatives that harness Industrial Internet of Things (IIoT) technologies to connect devices, automate processes, and unlock real-time data insights across operations.
Your Profile:
- Proven experience leading data and AI initiatives in industrial or engineering domains.
- Deep understanding of the data value chain, cloud data architectures, and AI/ML technologies.
- Strong capability in managing stakeholders, from technical teams to the C-suite.
- Commercial acumen with experience supporting sales efforts and responding to RFPs.
- Experience designing and embedding organisational models for AI and data at scale.
This is a unique chance to join a high-performing team where you will help shape the future of smart manufacturing and industrial AI.
Industrial AI Lead Consultant (Industry 4.0, IIoT, Smart Manufacturing, Automation, AI/ML) employer: Consulting Point
Contact Detail:
Consulting Point Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Industrial AI Lead Consultant (Industry 4.0, IIoT, Smart Manufacturing, Automation, AI/ML)
✨Tip Number 1
Network with professionals in the industrial AI and smart manufacturing sectors. Attend industry conferences, webinars, and meetups to connect with potential colleagues and clients. This can help you gain insights into current trends and showcase your expertise.
✨Tip Number 2
Stay updated on the latest advancements in AI/ML technologies and IIoT applications. Follow relevant blogs, podcasts, and thought leaders in the field. This knowledge will not only enhance your understanding but also demonstrate your commitment to innovation during interviews.
✨Tip Number 3
Prepare to discuss specific case studies or projects where you've successfully implemented AI solutions in industrial settings. Highlight your role in driving transformation and the impact of your work on operational efficiency and business outcomes.
✨Tip Number 4
Familiarise yourself with the consulting organisation's values and recent projects. Tailor your discussions to align with their mission and demonstrate how your experience can contribute to their goals in digital manufacturing and AI transformation.
We think you need these skills to ace Industrial AI Lead Consultant (Industry 4.0, IIoT, Smart Manufacturing, Automation, AI/ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, data strategies, and industrial processes. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership experience in AI initiatives and your understanding of Industry 4.0. Explain how your skills can drive innovation and operational efficiency for the company.
Showcase Relevant Projects: Include specific examples of past projects where you led AI transformations or developed data strategies. Quantify your achievements to illustrate the impact of your work.
Prepare for Technical Questions: Anticipate technical questions related to AI/ML technologies and cloud platforms. Be ready to discuss your approach to integrating IIoT solutions and managing stakeholder relationships.
How to prepare for a job interview at Consulting Point
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML technologies and cloud platforms like AWS or Azure. Highlight specific projects where you've successfully implemented these technologies in industrial settings.
✨Demonstrate Industry Knowledge
Familiarise yourself with the latest trends in Industry 4.0 and IIoT. Be ready to discuss how these trends can impact manufacturing processes and how you can leverage them to drive innovation for clients.
✨Prepare for Executive-Level Conversations
Since the role involves advising senior stakeholders, practice articulating complex technical concepts in a way that resonates with non-technical audiences. Think about how you can convey the value of AI in enhancing operational efficiency.
✨Emphasise Stakeholder Management Skills
Prepare examples that showcase your ability to manage diverse stakeholders, from technical teams to C-suite executives. Discuss how you've navigated challenges in past projects to achieve successful outcomes.
