At a Glance
- Tasks: Lead exciting data and AI projects while managing client relationships.
- Company: Top tech consulting firm with a focus on innovation.
- Benefits: Attractive salary, hybrid work model, and comprehensive benefits.
- Why this job: Join a dynamic team and drive impactful technology projects.
- Qualifications: Proven project management experience and strong interpersonal skills.
- Other info: Great opportunities for career advancement in a collaborative environment.
The predicted salary is between 28800 - 42000 £ per year.
A leading technology consulting firm is seeking a Project Manager to deliver technology projects with a focus on data, AI, and software in a hybrid working arrangement. The ideal candidate will have proven project management skills and a strong ability to manage client relationships. You will work closely with teams to ensure project success and client satisfaction. Competitive salary and benefits offered.
Data & AI Project Manager | Hybrid—Manchester/Leeds employer: BCN Group Ltd
Contact Detail:
BCN Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Project Manager | Hybrid—Manchester/Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data and AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your project management skills! Prepare a portfolio of past projects where you’ve successfully managed client relationships and delivered results. This will help us see your experience in action.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to project management and client handling. We want to see your confidence shine through!
✨Tip Number 4
Don’t forget to 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 Data & AI Project Manager | Hybrid—Manchester/Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your project management skills and experience in data and AI. We want to see how you've successfully delivered similar projects in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've managed client relationships and led successful projects.
Showcase Your Soft Skills: We value strong communication and teamwork skills just as much as technical expertise. Make sure to highlight instances where you've collaborated with teams or resolved conflicts to ensure project success.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at BCN Group Ltd
✨Know Your Data & AI Stuff
Make sure you brush up on the latest trends and technologies in data and AI. Be ready to discuss how you've applied these in past projects, as this will show your expertise and passion for the field.
✨Showcase Your Project Management Skills
Prepare specific examples of projects you've managed, focusing on your role, the challenges faced, and how you ensured success. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Client Relationship Mastery
Think of instances where you've successfully managed client relationships. Be ready to share how you handled difficult situations or feedback, as this will demonstrate your interpersonal skills and ability to maintain client satisfaction.
✨Get Familiar with Hybrid Work Dynamics
Since this role is hybrid, be prepared to discuss how you manage remote teams and ensure effective communication. Share any tools or strategies you use to keep everyone on track and engaged, as this will highlight your adaptability.