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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 impactful data-driven initiatives.
- Qualifications: Experience in data science or analytics; curiosity and motivation are key.
- Other info: Collaborative environment with opportunities for personal and professional growth.
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 City of 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 City of 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! Create a portfolio showcasing your data solutions and product strategies. This is your chance to demonstrate how you tackle complex challenges.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and their impact. Be ready to discuss how you can drive a data-driven culture and what outcomes you envision.
✨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 Product Manager: Data & AI Solutions for Business Impact in City of London
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! We love candidates who are eager to learn and explore new ideas, especially in the realm of data and AI. Share examples of how you've tackled complex problems or driven innovation in your previous roles.
Tailor Your Experience: Make sure to highlight your experience in data science or analytics. We want to see how your background aligns with the role of Product Manager. Use specific examples that demonstrate your ability to lead product strategy and collaborate with stakeholders effectively.
Be Data-Driven: Since we’re all about promoting a data-driven culture, it’s essential to showcase your analytical skills in your application. Include metrics or outcomes from your past projects that illustrate your impact and decision-making process based on data.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success! It’s the easiest way for us to review your application and get to know you better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Marks and Spencer
✨Know Your Data
Make sure you brush up on your data science and analytics knowledge. Be prepared to discuss how you've used data to drive product decisions in the past. This will show that you understand the core of what the role entails.
✨Show Your Curiosity
Demonstrate your curiosity by asking insightful questions about the company's data strategy and AI initiatives. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.
✨Collaborative Mindset
Since the role involves working with various stakeholders, be ready to share examples of how you've successfully collaborated in previous roles. Highlight your ability to tackle complex challenges through teamwork and communication.
✨Emphasise a Data-Driven Culture
Talk about your experience in promoting a data-driven culture within teams or organisations. Share specific instances where your efforts led to improved decision-making or product outcomes, as this aligns perfectly with the company's goals.
