At a Glance
- Tasks: Drive AI and data product strategy while collaborating with cross-functional teams.
- Company: Leading player in the Banking and FinTech sector.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Other info: Join a dynamic team focused 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 AI and analytics skills.
The predicted salary is between 60000 - 80000 € 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
Join a forward-thinking organisation that prioritises innovation and employee development in the heart of Paddington. As a Product Data Manager, you will thrive in a collaborative work culture that values your expertise in AI and data management, while enjoying opportunities for professional growth and advancement. With a focus on cutting-edge technology and a commitment to fostering a diverse and inclusive environment, this company stands out as an exceptional employer in the Banking and FinTech sector.
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 product lifecycles and collaborated with cross-functional teams in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and genuinely interested in joining our team. It’s a great way to stand out!
We think you need these skills to ace Product Data Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Product Data Manager role. Highlight your experience in AI, data platforms, and analytics, especially within Banking or FinTech. We want to see how your skills align with our needs!
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 the perfect fit for us. Don’t forget to mention specific projects that showcase your expertise.
Showcase Relevant Skills:When filling out your application, make sure to emphasise your skills in SQL, Python, and data governance. We’re looking for someone who can hit the ground running, so let us know how you’ve used these tools in past roles!
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 don’t miss any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at TESTQ Technologies
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data platforms, AI, and analytics. Brush up on your SQL and Python skills, as you might be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Product Management Experience
Prepare examples from your past roles where you successfully managed data products. Highlight your experience with Agile methodologies and how you've driven product strategy and roadmaps in a banking or FinTech context.
✨Understand the Company’s Data Vision
Research the company’s current data initiatives and challenges. Be ready to discuss how you can contribute to their AI and data product strategy, and bring fresh ideas to the table that align with their goals.
✨Emphasise Cross-Functional Collaboration
Since this role involves working closely with Data Science, Engineering, and Architecture teams, prepare to discuss your experience in leading cross-functional projects. Share specific instances where you’ve successfully collaborated to deliver data solutions.
