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For Companies At a Glance
- Tasks: Lead AI transformations and shape data strategies for major global enterprises.
- Company: Join a prestigious consulting organisation focused on digital manufacturing innovation.
- Benefits: Enjoy opportunities for growth, innovation, and working with cutting-edge technologies.
- Why this job: Be at the forefront of smart manufacturing, driving real change in various industries.
- Qualifications: Experience in leading AI initiatives and strong understanding of data architectures required.
- Other info: This role offers a chance to shape the future of industrial AI and automation.
The predicted salary is between 48000 - 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: LinkedIn
Contact Detail:
LinkedIn 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, IIoT, and automation technologies. Follow relevant blogs, podcasts, and thought leaders in the field. This knowledge will not only enhance your discussions during interviews but also demonstrate your commitment to continuous learning.
✨Tip Number 3
Prepare to discuss specific case studies or projects where you've successfully implemented AI solutions in industrial settings. Highlight your role, the challenges faced, and the outcomes achieved. This will illustrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Familiarise yourself with the consulting organisation's values and recent projects. Tailor your conversations to align with their mission and demonstrate how your background and vision for AI can contribute to their goals. This personal touch can set you apart from other candidates.
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: In your cover letter, express your passion for smart manufacturing and how your background aligns with the responsibilities of the Industrial AI Lead Consultant. Mention specific projects or achievements that showcase your expertise.
Showcase Technical Skills: Clearly outline your technical skills related to AI/ML, cloud platforms, and IIoT technologies. Provide examples of how you've successfully implemented these in previous roles.
Highlight Leadership Experience: Emphasise your experience in leading teams and managing stakeholders. Include examples of how you've driven innovation and growth in past positions, particularly in industrial settings.
How to prepare for a job interview at LinkedIn
✨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 for client success.
✨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 driving operational efficiency.
✨Emphasise Your Leadership Skills
Highlight your experience in leading teams and managing stakeholders. Prepare examples of how you've driven innovation and growth in previous roles, particularly in relation to AI and data strategies.
