At a Glance
- Tasks: Lead and shape a Data & AI practice, driving strategic initiatives and hands-on transformations.
- Company: Sullivan & Stanley, a forward-thinking consultancy in London.
- Benefits: Competitive salary, travel opportunities, and a chance to shape the future of data.
- Other info: Dynamic role with opportunities for growth and influence in a rapidly evolving field.
- Why this job: Be at the forefront of Data & AI, making impactful decisions and leading innovative projects.
- Qualifications: Proven experience in Data & AI strategy and architecture, with strong leadership skills.
The predicted salary is between 80000 - 90360 £ per year.
Sullivan & Stanley is seeking a strategic Data & AI leader to build and lead a client‑facing practice from the ground up, shaping architecture and propositions while partnering with senior leadership to unlock value from data and AI.
Based in London with UK travel, you will alternate between setting the vision for the Data & AI practice and hands‑on delivery as Lead Enterprise & Data Architect on complex transformations, contributing to growth, IP, and sustained advisory excellence.
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Director, Data & AI — Strategy & Practice Leadership in London employer: Sullivan & Stanley
At our Boutique Transformation Consultancy located in the vibrant Borough Market, London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. As a Junior Front-of-House & Client Experience Coordinator, you will not only play a crucial role in creating memorable client experiences but also benefit from mentorship by senior leaders, ensuring your professional journey is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Director, Data & AI — Strategy & Practice Leadership in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Director, Data & AI — Strategy & Practice Leadership in London
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 Sullivan & Stanley, 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 Sullivan & Stanley. 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 Sullivan & Stanley
✨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!
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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 Sullivan & Stanley!
✨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.
