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- Tasks: Lead AI and data strategy, manage a high-performing team, and drive innovation in manufacturing.
- Company: Join a global manufacturing group based in London, investing in AI to modernise operations.
- Benefits: Enjoy executive-level perks, including bonuses, equity participation, and significant career growth.
- Why this job: Be at the forefront of transforming a traditional industry with cutting-edge AI solutions.
- Qualifications: Proven experience in data science or AI, strong leadership skills, and knowledge of machine learning tools.
- Other info: This role offers autonomy and visibility at the board level, making a real impact.
The predicted salary is between 72000 - 108000 £ per year.
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 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.
Join us to revolutionise the industrial world through data. Apply now for a confidential discussion about this London-based leadership role.
Director of Data Science & AI – Global Manufacturing Transformation employer: Hamilton Finch
Contact Detail:
Hamilton Finch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Science & AI – Global Manufacturing Transformation
✨Tip Number 1
Network with professionals in the manufacturing and AI sectors. Attend industry conferences, webinars, or local meetups to connect with key players and learn about the latest trends. This can help you gain insights and potentially get referrals for the role.
✨Tip Number 2
Showcase your leadership experience in data science and AI by sharing relevant projects on platforms like LinkedIn or GitHub. Highlight your ability to manage teams and deliver results, as this will resonate well with the hiring executives.
✨Tip Number 3
Familiarise yourself with the specific challenges faced by the manufacturing sector regarding AI adoption. Understanding these pain points will allow you to speak knowledgeably during interviews and demonstrate how you can drive transformation.
✨Tip Number 4
Prepare to discuss your vision for AI in traditional industries. Be ready to articulate how you would lead cultural change and promote data-driven decision-making at all levels of the organisation, as this is a key aspect of the role.
We think you need these skills to ace Director of Data Science & AI – Global Manufacturing Transformation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data science and AI programmes, especially in sectors like manufacturing or fintech. Use specific examples that demonstrate your ability to manage teams and deliver measurable outcomes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI's impact on industry and your vision for driving cultural change in traditional sectors. Mention how your background aligns with the company's goals and the unique challenges they face.
Highlight Technical Skills: Clearly outline your technical expertise in machine learning, data architecture, and relevant tools such as Python, SQL, and Azure. Provide examples of how you've successfully implemented these skills in previous roles.
Showcase Leadership Experience: Emphasise your leadership experience by detailing how you've built and managed high-performing teams. Include any instances where you've partnered with executive leadership to drive innovation and strategic initiatives.
How to prepare for a job interview at Hamilton Finch
✨Showcase Your Leadership Experience
As a Director of Data Science & AI, you'll need to demonstrate your ability to lead high-performing teams. Prepare examples of how you've successfully managed teams in previous roles, particularly in sectors like manufacturing or fintech.
✨Highlight Your Technical Expertise
Make sure to discuss your knowledge of machine learning, data architecture, and relevant tools such as Python and SQL. Be ready to explain how you've applied these skills to solve real-world problems in past projects.
✨Communicate with Confidence
Exceptional communication skills are crucial for this role. Practice articulating complex data concepts in a way that is accessible to non-technical stakeholders, showcasing your executive presence.
✨Demonstrate Your Vision for AI in Manufacturing
Prepare to discuss your thoughts on the future of AI in the manufacturing sector. Share insights on how you would drive cultural change and promote data-first decision-making at all levels of the organisation.
