At a Glance
- Tasks: Lead AI and data transformation projects in a dynamic financial services environment.
- Company: Join a leading financial services organisation driving innovation in AI.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Fast-paced environment with opportunities for professional growth.
- Why this job: Make an impact in AI while working with cutting-edge data technologies.
- Qualifications: 5+ years in Product Management with strong data and AI experience.
The predicted salary is between 60000 - 80000 € per year.
RED now has a new contract opportunity for a Data Product Manager (AI) to join one of our key partners, a leading financial services organisation, for a data & AI transformation programme. The initial contract will be for 6 months with scope for extension based on project delivery. This contract is to start ASAP and will be hybrid, with 3 days per week on-site in Central London.
- Banking or Wealth Management experience is mandatory
- 5+ years of Product Management experience, with a strong track record delivering data platforms and AI-enabled products
- Proven background working with data platforms, analytics tooling, and AI/ML ecosystems (e.g. data lakes/warehouses, feature stores, model pipelines, MLOps)
- Strong experience in data governance, quality, metadata management, and AI readiness
- Hands-on ability with SQL, Python, and data visualisation tools to support data-driven decision making
- Experience delivering AI/ML use cases such as predictive analytics, personalisation, and intelligent automation
- Previous experience within regulated environments (e.g. financial services/asset management) is highly desirable
- Strong stakeholder management skills, working across Product, Engineering, Data Science, and Architecture teams
- Comfortable operating in fast-paced and evolving environments, particularly within AI and data transformation initiatives
- Excellent communication skills in English
Product Manager - AI/Data Science in City of London employer: RED Global
Join a leading financial services organisation that prioritises innovation and employee development in the heart of Central London. With a strong focus on data and AI transformation, we offer a collaborative work culture that encourages growth through challenging projects and continuous learning opportunities. Enjoy the benefits of a hybrid working model, competitive remuneration, and the chance to make a significant impact in a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - AI/Data Science in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those in financial services or AI. Attend meetups, webinars, or even casual coffee chats to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data platforms and AI products. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and data visualisation tools. We want to see how you can apply these skills in real-world scenarios!
✨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 and engaged with our platform.
We think you need these skills to ace Product Manager - AI/Data Science in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Data Product Manager. Highlight your experience with data platforms and AI-enabled products, as well as any relevant banking or wealth management experience. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:Don’t forget to showcase your hands-on abilities with SQL, Python, and data visualisation tools. Include specific examples of how you've used these skills in past projects. This will help us see your practical experience in action!
Highlight Stakeholder Management:Since strong stakeholder management skills are key for this role, make sure to mention any experiences where you’ve successfully collaborated with cross-functional teams. We love to see how you’ve navigated complex environments and built relationships!
Apply Through Our Website:Finally, make sure to apply through our website! It’s the best way for us to receive your application and keep track of it. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at RED Global
✨Know Your Data Inside Out
As a Product Manager in AI/Data Science, you need to be well-versed in data platforms and analytics tools. Brush up on your knowledge of data lakes, MLOps, and SQL. Be ready to discuss specific projects where you've successfully delivered AI-enabled products.
✨Showcase Your Stakeholder Management Skills
This role requires strong collaboration across various teams. Prepare examples of how you've effectively managed stakeholders in previous roles, especially in fast-paced environments. Highlight your communication skills and how they helped bridge gaps between Product, Engineering, and Data Science teams.
✨Demonstrate Your Technical Proficiency
Make sure you can talk confidently about your hands-on experience with Python and data visualisation tools. Be prepared to discuss how you've used these skills to drive data-driven decision-making in past projects, particularly in regulated environments like financial services.
✨Prepare for AI/ML Use Cases
Familiarise yourself with common AI/ML use cases relevant to the financial sector, such as predictive analytics and personalisation. Think of specific examples from your experience that demonstrate your ability to deliver these solutions and how they impacted the business.
