At a Glance
- Tasks: Lead a dynamic team to drive AI platform consulting and strategic direction in EMEA.
- Company: Join Workday, a leader in innovative technology solutions.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Other info: Be part of a forward-thinking company with a focus on innovation and teamwork.
- Why this job: Make a significant impact by championing AI adoption and enhancing customer outcomes.
- Qualifications: Proven leadership experience and expertise in technical platform consulting.
The predicted salary is between 100000 - 150000 £ per year.
Workday, Inc. seeks a Sr Director of EMEA Technical Platform Consulting to lead a ~45‑person team across eight direct reports, driving performance and strategic direction in the EMEA region.
You will guide delivery across Data, Integration and Extend, while partnering with Sales, Delivery, and Product to maximize value and growth.
You will champion AI adoption, upskill consultants, and ensure customer outcomes align with Workday’s mission.
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Senior Director, AI Platform Consulting — EMEA employer: Workday, Inc.
Workday, Inc. is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a hybrid environment while leading innovative sales strategies in the Retail and Hospitality sectors. With a strong emphasis on professional development and growth opportunities, employees are encouraged to expand their skills and advance their careers, all while contributing to meaningful projects that inspire brighter work days.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Director, AI Platform Consulting — EMEA
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We think you need these skills to ace Senior Director, AI Platform Consulting — EMEA
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!
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Craft a Tailored Cover Letter:For a full-time role at Workday, Inc., 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, Inc.. 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, Inc.
✨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 Workday, Inc.!
✨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.
