At a Glance
- Tasks: Lead client engagement and drive growth in Data & AI consulting.
- Company: Global tech consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, bonus, equity, and hybrid working options.
- Other info: Opportunity for career advancement in a dynamic, international environment.
- Why this job: Shape the future of Data & AI while building strategic relationships.
- Qualifications: Experience in Data & AI consulting and strong client engagement skills.
The predicted salary is between 72207 - 88253 £ per year.
150000.00 - 150000.00 per annum London, WC2N 5DU, England, United Kingdom Permanent Client Engagement Lead – Data & AILocation: London (Hybrid) | Additional opportunities in the Netherlands and Germany
Salary: 140,000 – 160,000 + bonus/equity/benefits (UK package)I'm working with a leading global technology consultancy looking to hire a Client Engagement Lead to support the growth of its Data & AI practice.
This is a senior, commercially focused role combining technical consulting expertise, strategic client engagement and business development, working with major enterprise clients across a range of industries.
Key responsibilities: Build and develop strategic relationships with senior stakeholders across key enterprise accounts.
Identify opportunities to grow existing accounts through pre-sales, upselling and cross-selling.
Lead client conversations around Data & AI strategy, platforms, architecture and transformation.
Work closely with technical delivery teams to shape solutions and ensure successful client outcomes.
What we're looking for: Strong background in Data & AI consulting, ideally progressing from a technical role into client-facing leadership.
Proven experience in client engagement, account growth, pre-sales and solution consulting.
Broad technical understanding of Data & AI technologies, platforms and architectures, with Databricks experience particularly valuable.
Ability to engage credibly with senior technical stakeholders and C-level executives.
Strong commercial awareness and experience managing complex enterprise relationships.
No sponsorship available for this role.
If interested, please apply or contact ncarolan@mcgregor-boyall. com for a confidential discussion.
Data and AI Client Engagement Lead in London employer: McGregor Boyall
Join a leading global Investment Management firm in London, where you will thrive in a dynamic hybrid work environment that fosters collaboration and innovation. With a strong focus on employee growth, the company offers competitive salaries, generous bonuses, and comprehensive benefits, alongside opportunities to take ownership of impactful regulatory initiatives. Experience a supportive work culture that values strong stakeholder relationships and encourages professional development, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Client Engagement Lead in London
✨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 McGregor Boyall!
✨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 Data and AI Client Engagement Lead at McGregor Boyall.
✨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 McGregor Boyall.
✨Apply Directly through Our Website
When you find a suitable opening like Data and AI Client Engagement Lead at McGregor Boyall, 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 Data and AI Client Engagement Lead 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 McGregor Boyall, 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 McGregor Boyall. 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 McGregor Boyall
✨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 McGregor Boyall!
✨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.
