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- Tasks: Lead AI product development and align 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 products and drive innovation.
- Qualifications: Experience in data analytics and proven product ownership skills.
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 employer: Multiplex
Contact Detail:
Multiplex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Owner – Data & GenAI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects in product ownership and analytics. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI product development. We recommend using the STAR method to structure your answers – it helps you shine!
✨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 AI Product Owner – Data & GenAI
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 led successful projects or improved processes, 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 product ownership experience. This will demonstrate your expertise and passion for the field.
✨Align with Their Strategic Goals
Research Multiplex's strategic goals and think about how your skills can help achieve them. During the interview, share examples of how you've aligned product development with business objectives in the past. This shows that you're not just a techie but also a strategic thinker.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges in AI product development. Prepare by thinking through potential scenarios and your approach to solving them. This will highlight your problem-solving skills and ability to think on your feet.
✨Showcase Your Communication Skills
As a Product Owner, you'll need to communicate effectively with various stakeholders. Practice articulating your thoughts clearly and concisely. Use examples from your past experiences to illustrate how you've successfully communicated complex ideas to non-technical audiences.