Director of Data Science & AI – Global Manufacturing Transformation

London
8 months ago
Applications closed

Related Jobs

View all jobs

Managing Director

Managing Director

Managing Director

Managing Director

Managing Director

Lead Data & Platform Engineer

Director of Data Science & AI – Global Manufacturing Transformation

We’re hiring on behalf of a global manufacturing group headquartered in London, actively investing in AI and data science to modernise and future-proof its operations across multiple continents.

This newly created role — Director of Data Science & AI — sits at the intersection of industry and innovation, offering the rare opportunity to lead enterprise-scale AI transformation in one of the world’s most traditional sectors.

You’ll own the AI and data strategy, manage a high-performing technical team, and work directly with executive leadership to deliver measurable outcomes across smart manufacturing, supply chain intelligence, and operational efficiency.

Why This Role Is Unique

We’re helping to bridge the gap between world-class AI leadership and the industrial sector. Executives from other data-driven environments — including Finance, SaaS, Retail, or Logistics — are encouraged to apply, especially those seeking to lead innovation in a high-impact, under-digitised industry.

Key Responsibilities



Lead the global AI and data strategy across smart factory, logistics, and enterprise-wide digital programmes.

*

Build and manage a cross-functional team of data scientists, ML engineers, and analytics professionals.

*

Translate strategic business challenges into scalable machine learning and data solutions.

*

Drive cultural change in a traditional sector, evangelising data-first decision-making at executive and board level.

*

Partner with manufacturing sites, regional execs, and global leadership to deliver AI-enabled innovation at scale.

What We’re Looking For

*

Proven track record in delivering enterprise-scale data science or AI programmes.

*

Experience leading teams in sectors such as manufacturing, fintech, SaaS, or logistics.

*

Strong knowledge of machine learning, data architecture, and deployment tools (Python, SQL, Azure, Snowflake, etc).

*

Exceptional communication skills with executive presence.

*

Passion for shaping AI’s impact on industry and solving real-world operational challenges.

What’s on Offer

*

Executive-level position in a global, future-facing organisation.

*

Chance to shape AI strategy in a sector with enormous transformation potential.

*

Autonomy, influence, and visibility at board level.

*

Bonus, equity participation, and career-defining scope.

Apply Today
Join us to revolutionise the industrial world through data. Apply now for a confidential discussion about this London-based leadership role

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.

Robotics Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Robotics looks futuristic from the outside. People picture humanoid machines, cutting-edge labs & young engineers writing complex code. In the UK job market, the reality is more practical and more encouraging for career switchers: robotics is already embedded across manufacturing, logistics, healthcare, agriculture, defence, construction & inspection. That means there are real jobs for people in their 30s, 40s & 50s who bring operational experience, delivery skills, quality discipline & the ability to work with real-world systems. This article gives you a clear UK reality check on robotics careers for career switchers: what roles genuinely exist, which paths are most realistic, what skills employers actually hire for, how long retraining tends to take & whether age is a factor.