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- Tasks: Lead the Data & AI product area and mentor a talented team.
- Company: A leading job platform in Greater London with a focus on innovation.
- Benefits: Hybrid working, generous holiday allowances, and private healthcare.
- Why this job: Shape the future of data and AI while making a real impact.
- Qualifications: Over 8 years in product management with expertise in data infrastructure and AI/ML.
- Other info: Join a dynamic team and enjoy excellent career growth opportunities.
The predicted salary is between 54000 - 84000 £ per year.
A leading job platform in Greater London is seeking a Product Director to lead its Data & AI product area. The role involves mentoring a team, defining product vision, and collaborating closely with Data Science. Ideal candidates have over 8 years in product management and a strong background in data infrastructure and AI/ML. This position offers a hybrid working environment and attractive benefits, including generous holiday allowances and private healthcare.
Director of Data & AI Product Strategy in London employer: The Stepstone Group
Contact Detail:
The Stepstone Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data & AI Product Strategy in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data and AI. A friendly chat can open doors and give you insights that might just land you that Director role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience in product management, particularly in data infrastructure and AI/ML. This will help us see how you can lead our team effectively.
✨Tip Number 3
Ace the interview! Research common questions for product directors and practice your responses. We want to see your vision for the product area and how you plan to mentor your team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Director of Data & AI Product Strategy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Director of Data & AI Product Strategy role. Highlight your product management experience, especially in data infrastructure and AI/ML, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention any mentoring experience you have, as we value leadership.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements rather than just responsibilities. Use metrics where possible to demonstrate your impact in previous positions, especially in product strategy and team collaboration.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to see what you bring to the table!
How to prepare for a job interview at The Stepstone Group
✨Know Your Data & AI Inside Out
Make sure you brush up on the latest trends and technologies in data infrastructure and AI/ML. Be prepared to discuss how you've applied these in your previous roles, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Leadership Skills
As a Director, mentoring a team is key. Think of examples where you've successfully led teams or projects. Highlight your approach to fostering collaboration and innovation within your team, as this will resonate well with the interviewers.
✨Define Your Product Vision
Be ready to articulate your vision for the Data & AI product area. Consider how you would align this vision with the company's goals and how you would measure success. This shows that you're not just a doer but a strategic thinker.
✨Prepare for Collaborative Scenarios
Since the role involves close collaboration with Data Science, think of instances where you've worked cross-functionally. Prepare to discuss how you’ve navigated challenges in collaboration and what strategies you used to ensure successful outcomes.
