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- Tasks: Lead the development of innovative data solutions and drive enterprise adoption.
- Company: Join EY, a leader in promoting diversity and inclusion.
- Benefits: Flexible work environment with opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and teamwork.
- Why this job: Be at the forefront of AI-ready data strategy and make a real impact.
- Qualifications: Relevant degree, AI skills, and experience in data management.
The predicted salary is between 60000 - 80000 £ per year.
EY is seeking a Data Agent Product Manager in Glasgow to drive the development of the Data Agent capability. The role involves collaborating across teams to support EY’s AI Ready Data Strategy and includes responsibilities like developing comprehensive offerings, establishing development standards, and leading enterprise adoption.
Candidates should have a relevant undergraduate degree, skills in AI, and proven experience in data management. EY offers a flexible environment promoting diversity and inclusion.
Lead Data Agent Product Manager — AI-Ready Data Strategy employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Agent Product Manager — AI-Ready Data Strategy
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at EY. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in data management and AI. This is your chance to demonstrate how you can drive the Data Agent capability.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to product management and data strategy. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Agent Product Manager — AI-Ready Data Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Agent Product Manager role. Highlight your background in AI and data management, and don’t forget to mention any relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about EY’s AI Ready Data Strategy and how your experience makes you the perfect fit for the team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working across teams, make sure to highlight your collaboration skills in your application. Share examples of how you've successfully worked with others to achieve common goals in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at EY
✨Know Your Data Inside Out
Make sure you’re well-versed in data management principles and AI applications. Brush up on your knowledge of how data strategies can drive business outcomes, as this will show your understanding of the role and its impact.
✨Showcase Your Collaborative Spirit
Since the role involves working across teams, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight your ability to bring diverse groups together to achieve a common goal, especially in relation to data projects.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data strategy and product management. Think through potential scenarios beforehand and outline your thought process, as this will demonstrate your strategic thinking and problem-solving skills.
✨Emphasise Diversity and Inclusion
EY values a diverse environment, so be ready to discuss how you’ve contributed to or supported diversity and inclusion in your previous roles. This could be through team dynamics, project leadership, or mentoring others in the field.