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- Tasks: Lead AI product development and align projects with strategic goals.
- Company: Multiplex, a forward-thinking company in London.
- Benefits: Flexible working, competitive salary, annual bonus, and professional growth.
- Other info: Join a dynamic team with exciting career advancement opportunities.
- Why this job: Shape the future of AI while making a real impact.
- Qualifications: Experience in data, analytics, and product ownership required.
The predicted salary is between 60000 - 80000 £ per year.
Multiplex is looking for a Product Owner (Data & AI) to join their team in London, overseeing AI product development and ensuring alignment with strategic goals.
Candidates should have strong experience in data and analytics, with a proven track record in product ownership and business analysis skills.
This role offers a flexible working environment and numerous benefits including a competitive salary, annual bonus, and professional development opportunities.
AI Product Owner – Data & GenAI in London employer: Multiplex
Contact Detail:
Multiplex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Owner – Data & GenAI in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects in product ownership and analytics. This will give potential employers a clear idea of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI product development. We recommend practising your responses with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Product Owner – Data & GenAI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data and analytics, as well as your product ownership skills. We want to see how your background aligns with the role of AI Product Owner, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills can help us achieve our strategic goals. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your impact in previous roles. Numbers and results speak volumes, so if you’ve improved processes or driven successful projects, let us know!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Multiplex
✨Know Your AI and Data Inside Out
Make sure you brush up on the latest trends in AI and data analytics. Be prepared to discuss specific projects you've worked on, showcasing your experience in product ownership and how it aligns with the strategic goals of the company.
✨Showcase Your Business Analysis Skills
During the interview, highlight your business analysis skills by discussing how you've identified user needs and translated them into actionable product features. Use examples that demonstrate your ability to bridge the gap between technical teams and stakeholders.
✨Prepare Questions That Matter
Think of insightful questions to ask about Multiplex's current AI initiatives and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their success.
✨Emphasise Flexibility and Team Collaboration
Since the role offers a flexible working environment, be ready to discuss how you adapt to different working styles and collaborate effectively with diverse teams. Share examples of how you've successfully managed remote or hybrid teams in the past.