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- Tasks: Shape and mentor the next generation of engineers in data and AI.
- Company: Dynamic Data & AI Consulting firm with a focus on real-world impact.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Unique role combining mentoring with technical delivery in a fast-paced environment.
- Why this job: Blend teaching and hands-on consulting to make a real difference in client environments.
- Qualifications: Degree in STEM and experience in delivering data science and AI solutions.
The predicted salary is between 90000 - 120000 £ per year.
We are partnered with a PE Backed global Data & AI Consulting firm looking to completely re-imagine how they train and deploy their talent pools. You’ll start by helping shape a new generation of engineers — people learning how to build properly across data, AI, and modern systems. But this isn’t about slides or theory. It’s about teaching what actually works in production, based on your own experience.
Then the role evolves. As those engineers move into client environments, you go with them — not as a trainer, but as a consultant. You’ll stay hands-on, work directly with end clients, and take ownership of delivery. You’ll lead from the front, guiding both the technical direction and the people you’ve helped develop. It’s a deliberate blend: build capability, then deploy it.
The people who tend to lean into this are engineers with a strong foundation in AI, data, or backend systems who’ve already operated in consulting or client-facing environments. They’ve built real systems, understand the gap between theory and production, and naturally find themselves mentoring others — whether that’s through workshops, internal training, or just being the person others go to when things get complex.
You don’t need to have been a full-time instructor. But you do need to care about how things are built, how they’re taught, and how they actually land in the real world. What makes this different is that you’re not stepping away from engineering to teach, and you’re not stuck in delivery without broader impact. You get both. You help shape how people are trained, and then you see that training hold up — or break — in real client environments, and refine it accordingly.
If you’re starting to enjoy the mentoring side of engineering, but don’t want to lose the technical edge or the pace of real-world delivery, this is a pretty rare way to do both without compromise.
Skills & Experience Required- Educated to degree level in a STEM subject; Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine Learning
- A commercial background in building and delivering data science and AI solutions end to end
- Ability to lead, teach and deploy teams of engineers, data scientists and AI engineers onsite with end clients
- Strong consulting skills, ability to work directly with end customers on shaping data and AI solutions, overseeing delivery from deployed teams
Data & AI Director in City of London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Director in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Data & AI space. Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects and achievements in data and AI. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on articulating your experience in building and deploying solutions, as well as your mentoring style.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talent that fits our vision. Don’t hesitate to reach out directly if you have questions about the role or the company culture.
We think you need these skills to ace Data & AI Director in City of London
Some tips for your application 🫡
Show Your Passion for Data & AI: When you're writing your application, let your enthusiasm for data and AI shine through. We want to see how your experience aligns with our mission to build and teach effectively. Share specific examples of projects you've worked on that demonstrate your hands-on experience in the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your consulting experience and any mentoring you've done. We love seeing how you've helped others grow in their technical skills, so don’t hold back on those details!
Be Authentic and Personal: We appreciate authenticity! Use a conversational tone in your application to show us who you are. Share your journey in data and AI, what drives you, and why you’re excited about this opportunity. It helps us get a sense of your personality and fit within our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you’re keen on joining our community at StudySmarter!
How to prepare for a job interview at Omnis Partners
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around data science and AI solutions. Be ready to discuss your past projects in detail, focusing on how you built and deployed systems. This will show that you not only understand the theory but also have hands-on experience.
✨Showcase Your Mentoring Skills
Since the role involves teaching and mentoring, think of specific examples where you've guided others. Whether it was through workshops or one-on-one sessions, be prepared to share how you helped others grow and how you approach teaching complex concepts.
✨Understand the Client's Needs
Research the consulting firm and their clients. Understand their challenges and how your skills can help solve them. During the interview, demonstrate your ability to tailor solutions to meet client needs, showing that you can bridge the gap between technical delivery and client satisfaction.
✨Be Ready for Real-World Scenarios
Expect scenario-based questions that test your problem-solving skills in real-world situations. Think about how you would handle challenges in a client environment, and be ready to discuss how you would adapt training based on what works in practice versus theory.