At a Glance
- Tasks: Lead AI-driven data product initiatives and collaborate with cross-functional teams.
- Company: Join a leading financial services organisation driving data transformation.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Fast-paced environment with opportunities for professional growth.
- Why this job: Shape the future of finance with cutting-edge AI and data solutions.
- 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.
This role is inside IR35.
Specific skills/experience required:
- 5+ years of Product Management experience, with a strong track record delivering data platforms and AI-enabled products
- Broad experience across the full product lifecycle, from strategy and roadmap definition through to execution and optimisation
- 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
- Ability to define and communicate product strategy and roadmaps across global teams
- Comfortable operating in fast-paced and evolving environments, particularly within AI and data transformation initiatives
- Excellent communication skills in English
- Able to join within short notice
If this role interests you, please send your CV to Lara on logul@redglobal.com or apply here!
Data Product Manager (AI) 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, this company offers a dynamic work culture that encourages collaboration and creativity, alongside opportunities for professional growth and advancement. Enjoy the benefits of a hybrid working model, competitive remuneration, and the chance to be part of impactful projects that shape the future of banking.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager (AI)
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Data Product Manager role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI and data platforms. Be ready to discuss your past experiences with predictive analytics and how you've tackled challenges in regulated environments. Show them you’re the perfect fit!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your skills in data governance and AI readiness. Use our website to find roles that match your expertise, especially those that highlight your experience in product management.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show your genuine interest in the role and the company.
We think you need these skills to ace Data Product Manager (AI)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in product management, especially in data platforms and AI. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Product Manager role. We love seeing passion and personality, so let us know what excites you about this opportunity.
Showcase Your Technical Skills:Since this role involves working with SQL, Python, and data visualisation tools, make sure to mention any hands-on experience you have. We’re keen on candidates who can back up their claims with real-world examples!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at RED Global
✨Know Your Data Inside Out
As a Data Product Manager, you need to be well-versed in data platforms and AI technologies. Brush up on your knowledge of data lakes, MLOps, and analytics tools. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨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, particularly in fast-paced environments. Highlight your communication strategies and how you ensured alignment across teams.
✨Demonstrate Your Technical Proficiency
Make sure you're comfortable discussing SQL, Python, and data visualisation tools. You might be asked to solve a technical problem or explain how you've used these skills in past projects. Practice articulating your thought process clearly and confidently.
✨Prepare for Regulatory Discussions
Given the financial services context, be ready to talk about your experience in regulated environments. Familiarise yourself with relevant regulations and how they impact product management. This will show that you understand the complexities of the industry.
