At a Glance
- Tasks: Lead AI and data product strategy while collaborating with cross-functional teams.
- Company: Join a leading player in the Banking and FinTech sector.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Other info: Dynamic role with a focus on cutting-edge technology and impactful projects.
- Why this job: Shape the future of banking with innovative AI and data solutions.
- Qualifications: 5+ years in data product management with strong technical skills.
The predicted salary is between 70000 - 90000 € per year.
Location: weekly 3 Days from Paddington
Experience: 5+ Years
Domain: Banking / FinTech
We are looking for an experienced Data Product Manager with strong expertise in AI, Data Platforms, Analytics, and Product Management within Banking or FinTech environments.
Key Skills:
- AI & Data Product Management
- Data Platforms / Data Lakes / Warehouses
- AI/ML Ecosystem & MLOps Concepts
- SQL, Python & Data Analytics
- Data Governance, Metadata & Lineage
- Agile Product Delivery & Roadmap Management
- Stakeholder & Cross-functional Leadership
Responsibilities:
- Define and drive AI & data product strategy and roadmap
- Partner with Data Science, Engineering & Architecture teams
- Enable AI/ML use cases, predictive analytics & automation
- Lead data modernization and single source of truth initiatives
- Deliver scalable, governed, AI-ready data products
- Manage end-to-end product lifecycle and adoption
Product Data Manager employer: TESTQ Technologies
As a leading player in the Banking and FinTech sector, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our employees benefit from comprehensive growth opportunities, including access to cutting-edge technology and professional development programmes, all while enjoying a flexible work environment based in the vibrant Paddington area. Join us to be part of a forward-thinking team that values your expertise and empowers you to make a meaningful impact in the world of data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the Banking and FinTech sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with AI, data platforms, and analytics. Use real-world examples to demonstrate how you've driven product strategy and delivered results.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've managed data governance and led cross-functional teams in previous roles.
✨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 Data Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI, Data Platforms, and Product Management specifically within Banking or FinTech. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data product management and how your background makes you a perfect fit for our team. Let us know what excites you about working with AI and data in the financial sector.
Showcase Your Technical Skills:Since we’re looking for someone with strong SQL, Python, and analytics skills, make sure to mention any relevant projects or experiences where you’ve used these tools. We love seeing practical examples of your expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at TESTQ Technologies
✨Know Your Data Inside Out
As a Product Data Manager, you’ll need to demonstrate your expertise in AI, data platforms, and analytics. Brush up on your knowledge of SQL, Python, and the latest trends in the AI/ML ecosystem. Be ready to discuss specific projects where you've successfully implemented these skills.
✨Showcase Your Stakeholder Management Skills
This role requires strong cross-functional leadership. Prepare examples of how you've effectively partnered with teams like Data Science and Engineering. Highlight your experience in managing stakeholder expectations and driving product strategy.
✨Understand the Banking/FinTech Landscape
Familiarise yourself with current challenges and innovations in the Banking and FinTech sectors. Be prepared to discuss how your previous experiences align with these trends and how you can contribute to the company’s goals in this space.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making process. Think of scenarios where you had to lead data modernization initiatives or manage the end-to-end product lifecycle. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
