At a Glance
- Tasks: Lead AI strategy and drive innovative solutions across Europe.
- Company: Dynamic tech firm investing heavily in AI with a collaborative culture.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Exciting role with significant impact and travel opportunities across Europe.
- Why this job: Shape the future of AI while influencing C-suite stakeholders.
- Qualifications: Proven leadership in AI and experience with enterprise transformation.
The predicted salary is between 80000 - 100000 £ per year.
Our client is looking to appoint a Director of AI to help drive the next phase of growth across their European business. Already established as a trusted partner to a number of enterprise organisations globally, they are investing heavily in AI and are seeking a commercially minded leader who can shape strategy, build senior client relationships, and lead the delivery of innovative AI solutions.
This is a highly visible role with significant influence across the business, offering the opportunity to work directly with C-suite stakeholders, lead major AI engagements, and play a key role in expanding the organisation's AI capability across Europe.
Responsibilities- Lead and grow AI engagements across Europe, acting as a trusted advisor to executive stakeholders and clients.
- Drive AI strategy, solution design, and delivery across complex enterprise transformation programmes.
- Develop and expand senior client relationships, identifying opportunities to increase AI adoption and business value.
- Drive business development initiatives.
- Collaborate with global AI leadership teams to align delivery standards, innovation, and go-to-market initiatives.
- Represent the organisation at client meetings, industry events, and executive-level discussions across Europe.
- Proven experience in a Director, Head of AI, AI Practice Lead, or similar senior leadership position.
- Strong track record delivering enterprise AI, Generative AI, Machine Learning, or AI transformation programmes.
- Demonstrated ability to engage and influence C-suite and senior business stakeholders.
- Experience building, leading, or scaling AI teams, practices, or consulting engagements.
- Willingness to travel regularly across Europe and work closely with clients on-site when required.
- Ideally you would have worked for a consultancy or technology partner.
Locations
Director of AI in Cheshire, Warrington employer: Sanderson
As a leading player in the AI sector, our company offers an exceptional work environment that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development and the chance to work alongside industry experts in a hybrid setting in London. Our culture prioritises flexibility and inclusivity, making it an ideal place for those looking to make a significant impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Director of AI in Cheshire, Warrington
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sanderson!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Director of AI at Sanderson.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sanderson.
✨Apply Directly through Our Website
When you find a suitable opening like Director of AI at Sanderson, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Director of AI in Cheshire, Warrington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sanderson, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sanderson. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sanderson
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sanderson!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
