At a Glance
- Tasks: Lead exciting data projects with a focus on AI across various industries.
- Company: Award-winning data consultancy known for innovation and a fantastic culture.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Work remotely with regular travel to London; great career advancement potential.
- Why this job: Join a fast-growing firm and make a real impact in the data world.
- Qualifications: Extensive consulting experience and strong skills in Agile delivery and stakeholder management.
The predicted salary is between 80000 - 100000 £ per year.
Our client is an award-winning, pure-play data consultancy, and one of the fastest growing companies in its sector. They help clients get data right, by providing expertise across AI, data strategy, data science etc. They do this across a range of industries, including Life Sciences, Healthcare and FMCG. The work is varied and interesting, and has won multiple awards for innovation. The company has also won awards for being one of the best companies to work for, and has a fantastic culture with high staff retention levels.
An opportunity has arisen to join their Delivery function as a Senior Client Delivery Manager at Associate Director level. Key responsibilities will include overseeing delivery of a range of different data projects & programs (with a heavy focus on Generative or Agentic AI), across a diverse variety of industry sectors.
The ideal candidate will have deep experience in delivering a broad range of data projects/programs within the consulting sector. Extensive consulting experience is essential for this role. Some exposure to AI focussed Delivery is essential, ideally Agentic or GenAI related. You will have very strong Agile delivery and project/program governance experience. You will have good commercial awareness and excellent stakeholder management skills with demonstrable experience in driving business value. Sector experience is ideally focussed on CPG, FMCG, Healthcare or Life Sciences.
This role would be ideal for someone currently working for a top tier consultancy, who would like to be part of a faster-moving, more entrepreneurial firm, and have greater freedom within their role. They will also be given a huge amount of flexibility, with no mandated days in the office etc. This is a fantastic opportunity to join one of the fastest growing consultancies in the data world, as they continue to scale, and be part of this exciting growth journey.
Please note this role can be based anywhere in the UK but will include regular travel to London, so must be easily accessible.
Associate Director - AI Delivery Manager - Boutique Data Consultancy in Exeter employer: Milburn Lewis
Join an award-winning data consultancy that champions innovation and offers a vibrant work culture, recognised as one of the best companies to work for. With a strong focus on employee growth and flexibility, this role provides the opportunity to lead diverse data projects while enjoying the freedom of remote work and regular travel to London. Be part of a fast-paced, entrepreneurial environment where your expertise in AI and consulting will drive meaningful impact across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director - AI Delivery Manager - Boutique Data Consultancy in Exeter
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Associate Director - AI Delivery Manager - Boutique Data Consultancy at Milburn Lewis, 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 Associate Director - AI Delivery Manager - Boutique Data Consultancy in Exeter
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 Milburn Lewis, 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 Milburn Lewis. 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 Milburn Lewis
✨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 Milburn Lewis!
✨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.