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For Companies At a Glance
- Tasks: Lead product strategy and develop innovative data solutions for real business impact.
- Company: A leading retail company in London with a focus on Data & AI.
- Benefits: Competitive benefits, including discounts, holiday entitlements, and wellness support.
- Why this job: Join a dynamic team and drive change through data-driven decision making.
- Qualifications: Curious and motivated individuals with experience in data science or analytics.
- Other info: Great opportunity to tackle complex challenges and grow your career.
The predicted salary is between 43200 - 72000 £ per year.
A leading retail company in London is seeking a Product Manager to join their Data & AI team. In this role, you will lead product strategy and collaborate with stakeholders to tackle complex enterprise challenges.
Responsibilities include:
- Driving the development of data solutions
- Defining product outcomes
- Promoting a data-driven culture
Ideal candidates are curious and motivated, with experience in data science or analytics. The company offers competitive benefits including discounts, holiday entitlements, and wellness support.
Product Manager: Data & AI Solutions for Business Impact in London employer: Marks and Spencer
Contact Detail:
Marks and Spencer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager: Data & AI Solutions for Business Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Data & AI 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! Prepare a portfolio or case studies that highlight your experience in data solutions and product strategy. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your passion for data-driven culture and product management. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Product Manager: Data & AI Solutions for Business Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Product Manager in Data & AI. Highlight your experience in data science or analytics, and don’t forget to showcase any relevant projects that demonstrate your ability to tackle complex challenges.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re curious and motivated about this role. Share specific examples of how you've driven product strategy or developed data solutions in the past.
Showcase Your Collaboration Skills: As a Product Manager, you'll be working with various stakeholders. In your application, mention instances where you've successfully collaborated with teams to achieve product outcomes. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Marks and Spencer
✨Know Your Data Inside Out
As a Product Manager for Data & AI Solutions, it's crucial to have a solid grasp of data science and analytics. Brush up on key concepts and be ready to discuss how you've used data to drive product decisions in the past.
✨Showcase Your Stakeholder Collaboration Skills
This role involves working closely with various stakeholders. Prepare examples of how you've successfully collaborated with different teams to tackle complex challenges. Highlight your communication skills and ability to align diverse interests.
✨Demonstrate Your Curiosity
Curiosity is key in this position. Be prepared to discuss how you stay updated on industry trends and emerging technologies. Share instances where your curiosity led to innovative solutions or improvements in previous roles.
✨Emphasise a Data-Driven Mindset
The company values a data-driven culture, so come equipped with examples of how you've promoted this mindset in your previous roles. Discuss how you've defined product outcomes based on data insights and the impact it had on business results.
