EMEA Data & AI Sales Growth Leader

EMEA Data & AI Sales Growth Leader

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
exl

At a Glance

  • Tasks: Lead strategic client engagements to drive revenue growth using Data and AI solutions.
  • Company: EXL, a forward-thinking company based in London.
  • Benefits: Competitive salary, generous bonuses, and flexible hybrid working model.
  • Other info: Opportunity for long-term portfolio expansion and career growth.
  • Why this job: Be a trusted advisor and make a real impact on client success.
  • Qualifications: Experience in sales and a strong understanding of Data and AI solutions.

The predicted salary is between 80000 - 100000 £ per year.

EXL is looking for a front-end growth leader in London to expand its market presence through strategic client engagements. The role will focus on driving revenue growth using Data, Digital, and AI-led solutions, acting as a trusted advisor to executives.

The successful candidate will manage the entire deal lifecycle, ensuring integrated solutions that meet client priorities, while contributing to long-term portfolio expansion.

This position offers a competitive salary, generous bonuses, and a flexible hybrid working model.

EMEA Data & AI Sales Growth Leader employer: exl

EXL is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London, where employees are empowered to drive impactful change through Data and AI solutions. With a strong focus on professional growth, EXL offers extensive training opportunities and a flexible hybrid working model, ensuring a healthy work-life balance while rewarding performance with competitive salaries and generous bonuses. Join us to be part of a forward-thinking team that values collaboration and strategic client engagement.

exl

Contact Details:

exl Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land EMEA Data & AI Sales Growth Leader

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Apply Directly through Our Website

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We think you need these skills to ace EMEA Data & AI Sales Growth Leader

Sales Growth Strategy
Client Engagement
Revenue Growth
Data Solutions
Digital Solutions
AI-led Solutions
Deal Lifecycle Management

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 exl, 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 exl. 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 exl

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 exl!

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.