Enterprise AI Engagement Lead in England

Enterprise AI Engagement Lead in England

England Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Workday (UK) Limited

At a Glance

  • Tasks: Lead AI strategy and customer engagements across the EMEA region.
  • Company: Workday, a leader in enterprise cloud applications.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on innovation and collaboration.
  • Why this job: Shape the future of AI in enterprise and drive real value for customers.
  • Qualifications: Experience in AI strategy and project management skills.

The predicted salary is between 70000 - 90000 £ per year.

Workday seeks a Sr Engagement Manager - AI Practice to lead enterprise customer engagements across the EMEA region, with London as a key hub.

You will guide AI strategy, adoption, and value realization for customers post go-live, collaborating with Workday’s AI platform and product teams.

You will own end-to-end deployments, manage budgets and timelines, and mentor services teams while identifying upsell opportunities and ensuring long-term adoption across large-scale deployments.

#J-18808-Ljbffr

Enterprise AI Engagement Lead in England employer: Workday (UK) Limited

Workday is an exceptional employer that fosters a dynamic and inclusive work culture, particularly in our London hub where innovation thrives. We offer robust employee growth opportunities through mentorship and collaboration with leading AI experts, alongside competitive benefits that support work-life balance. Join us to be part of a forward-thinking team dedicated to driving meaningful change in enterprise AI engagement across the EMEA region.

Workday (UK) Limited

Contact Details:

Workday (UK) Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise AI Engagement Lead in England

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 Workday (UK) Limited!

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 Enterprise AI Engagement Lead at Workday (UK) Limited.

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 Workday (UK) Limited.

Apply Directly through Our Website

When you find a suitable opening like Enterprise AI Engagement Lead at Workday (UK) Limited, 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 Enterprise AI Engagement Lead in England

AI Strategy Development
Customer Engagement
Project Management
Budget Management
Timeline Management
Mentoring
Upselling

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 Workday (UK) Limited, 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 Workday (UK) Limited. 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 Workday (UK) Limited

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 Workday (UK) Limited!

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.