At a Glance
- Tasks: Lead AI and data consulting projects using Snowflake to drive client transformation.
- Company: Join a leading global consultancy with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a collaborative environment.
- Why this job: Shape the future of data solutions and make a real impact for top clients.
- Qualifications: Experience in Snowflake and strong leadership skills required.
The predicted salary is between 75600 - 92400 £ per year.
EY seeks a Senior Manager - Snowflake AI & Data Consulting Lead to shape Snowflake-based AI/data solutions for senior clients and manage delivery teams. You will blend Snowflake Data Cloud expertise with consulting acumen to drive transformation programs and measurable business outcomes.
You will build market-leading propositions, collaborate with Snowflake alliances, and lead high-performing teams of architects and engineers from discovery through delivery, ensuring governance and client value.
Senior Manager Snowflake AI & Data Consulting Lead employer: UK_Prog_Agency_VONQ_DirectCompany_CPC
At EY, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters personal and professional growth. As a Manager in Payroll Implementation, you'll be part of a globally connected team in Newcastle Upon Tyne or Manchester, where you can thrive in a supportive environment while working on impactful projects. With a commitment to continuous development and a focus on empowering our people, EY provides the perfect platform for ambitious professionals looking to shape their future with confidence.
Contact Details:
UK_Prog_Agency_VONQ_DirectCompany_CPC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager Snowflake AI & Data Consulting Lead
✨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 UK_Prog_Agency_VONQ_DirectCompany_CPC!
✨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 Senior Manager Snowflake AI & Data Consulting Lead at UK_Prog_Agency_VONQ_DirectCompany_CPC.
✨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 UK_Prog_Agency_VONQ_DirectCompany_CPC.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Manager Snowflake AI & Data Consulting Lead at UK_Prog_Agency_VONQ_DirectCompany_CPC, 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 Senior Manager Snowflake AI & Data Consulting Lead
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 UK_Prog_Agency_VONQ_DirectCompany_CPC, 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 UK_Prog_Agency_VONQ_DirectCompany_CPC. 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 UK_Prog_Agency_VONQ_DirectCompany_CPC
✨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 UK_Prog_Agency_VONQ_DirectCompany_CPC!
✨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.