At a Glance
- Tasks: Shape data-driven finance solutions and collaborate with clients to achieve their goals.
- Company: Leading consulting firm known for innovation and collaboration.
- Benefits: Hybrid working model, diverse environment, and opportunities for professional growth.
- Why this job: Make a real impact in finance while working with cutting-edge data solutions.
- Qualifications: 2-4 years of consulting experience and strong product management skills.
- Other info: Join a dynamic team that values diversity and collaboration.
The predicted salary is between 48000 - 84000 £ per year.
A leading consulting firm is seeking a Consultant/Senior Consultant – Data Product Owner to join their innovative team in the UK. You will shape data-driven finance solutions while working closely with clients to meet their objectives.
Ideal candidates have:
- 2-4 years of consulting experience
- Hands-on product management skills
- The ability to communicate effectively
This role offers a hybrid working model and the chance to work in a diverse and collaborative environment.
Senior AI-Driven Data Product Owner – Risk & Finance in London employer: Capgemini Invent
Contact Detail:
Capgemini Invent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI-Driven Data Product Owner – Risk & Finance in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their approach to data-driven finance solutions and think about how your experience aligns with their needs. This will help you stand out as a candidate.
✨Tip Number 3
Showcase your hands-on product management skills during interviews. Bring examples of past projects where you’ve successfully driven data products from concept to delivery. This will demonstrate your capability and fit for the role.
✨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 are proactive about their job search.
We think you need these skills to ace Senior AI-Driven Data Product Owner – Risk & Finance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI-Driven Data Product Owner role. Highlight your consulting experience and product management skills to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data-driven finance solutions and how your background makes you an ideal candidate for this position.
Showcase Your Communication Skills: Since effective communication is key in this role, make sure your application is clear and concise. Use straightforward language and structure your thoughts logically to demonstrate your ability to convey complex ideas simply.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Capgemini Invent
✨Know Your Data Inside Out
As a Senior AI-Driven Data Product Owner, you’ll need to demonstrate your understanding of data-driven finance solutions. Brush up on the latest trends in AI and data management, and be ready to discuss how you've applied these in previous roles.
✨Showcase Your Consulting Experience
With 2-4 years of consulting experience required, make sure to highlight specific projects where you’ve successfully managed products. Use the STAR method (Situation, Task, Action, Result) to structure your answers and show how you’ve met client objectives.
✨Communicate Clearly and Confidently
Effective communication is key in this role. Practice articulating complex ideas simply and clearly. Prepare to explain your thought process behind product decisions and how you’ve collaborated with clients and teams in the past.
✨Embrace the Hybrid Model
Since this role offers a hybrid working model, be prepared to discuss how you manage your time and productivity in both remote and in-office settings. Share examples of how you’ve successfully navigated similar work environments in the past.