At a Glance
- Tasks: Lead AI and data strategy for global manufacturing transformation.
- Company: Join a leading global manufacturing group based in London, investing in AI and data science.
- Benefits: Enjoy executive-level perks, including bonuses, equity participation, and career-defining opportunities.
- Why this job: Shape the future of industry with innovative AI solutions in a traditional sector.
- Qualifications: Proven experience in enterprise-scale data science, leadership, and strong communication skills required.
- Other info: This role offers autonomy and visibility at board level, perfect for ambitious leaders.
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 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 case studies or projects during networking conversations. Highlight how you've successfully led teams and delivered impactful results in previous roles, especially in sectors like manufacturing or logistics.
✨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 about how you can drive cultural change and implement data-first decision-making strategies.
✨Tip Number 4
Prepare for interviews by developing a clear vision of how you would approach the AI and data strategy for the company. Be ready to discuss innovative ideas and solutions that align with their goals of modernising operations and enhancing efficiency.
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 how you can drive cultural change in traditional sectors. Mention your executive presence and communication skills, as these are crucial for the role.
Showcase Relevant Skills: Clearly outline your technical skills related to machine learning, data architecture, and deployment tools such as Python, SQL, and Azure. This will help demonstrate your capability to lead the AI and data strategy effectively.
Highlight Leadership Experience: Emphasise your experience in building and managing cross-functional teams. Provide examples of how you've successfully translated strategic business challenges into scalable solutions, showcasing your leadership style and impact.
How to prepare for a job interview at Hamilton Finch
✨Showcase Your Leadership Experience
As a Director of Data Science & AI, you'll be expected to lead a high-performing team. Be prepared to discuss your previous leadership roles, how you managed teams, and the outcomes of your initiatives. Highlight any experience in driving cultural change within traditional sectors.
✨Demonstrate Technical Proficiency
Familiarise yourself with the key technologies mentioned in the job description, such as Python, SQL, Azure, and Snowflake. Be ready to discuss specific projects where you've applied these tools to solve complex problems, particularly in manufacturing or similar industries.
✨Communicate with Executive Presence
Exceptional communication skills are crucial for this role. Practice articulating your ideas clearly and confidently, especially when discussing strategic business challenges and data-driven solutions. Tailor your language to resonate with executive leadership.
✨Align with the Company’s Vision
Research the company’s current initiatives in AI and data science. Be prepared to share your vision for how you can contribute to their goals and drive innovation in the manufacturing sector. Show your passion for transforming traditional industries through technology.