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- Tasks: Lead the transformation of raw data into strategic assets for global teams.
- Company: Join a forward-thinking company at the forefront of AI and data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a chance to influence key business decisions.
- Why this job: Shape the future of data products and make a significant impact in the industry.
- Qualifications: 5+ years in Product Management with expertise in data platforms and AI products.
The predicted salary is between 70000 - 90000 £ per year.
As a Product Manager for AI Data Products, you will be a founding architect of our modern data ecosystem. Operating within the Data Enablement team, your mission is to transform raw data into a strategic asset that powers our Global Client Groups across Sales, Marketing, and Digital Experience.
What We're Looking For
- Experience: 5+ years in Product Management with a track record of launching data platforms or AI-enabled products.
- Domain Expertise: Proven experience in B2B or B2B2C environments, ideally within Financial Services, Asset Management, or a similarly regulated industry.
- Technical Proficiency: Hands-on experience with Data Lakes/Warehouses (e.g., Snowflake), Feature Stores, and MLOps concepts.
- Data Literacy: Ability to perform data profiling and analysis using SQL and Python to drive product decisions.
- Communication: Exceptional ability to influence a diverse audience, from C-suite leaders to deeply technical engineers and data scientists.
- Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).
Product Manager employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Product Manager role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI data products. We suggest doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your technical chops! Be ready to discuss your hands-on experience with Data Lakes and MLOps. We recommend having specific examples from your past roles that highlight your ability to transform data into strategic assets.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Product Manager for AI Data Products. Highlight your experience in launching data platforms and any relevant projects that showcase your skills in B2B environments.
Showcase Your Technical Skills: Don’t shy away from flaunting your technical prowess! Include specific examples of your hands-on experience with Data Lakes, Feature Stores, and MLOps concepts. This will help us see how you can contribute to our modern data ecosystem.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming raw data into strategic assets and how your background aligns with our mission at StudySmarter.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Randstad Technologies
✨Know Your Data Inside Out
As a Product Manager for AI Data Products, you need to be well-versed in data concepts. Brush up on your knowledge of Data Lakes, Warehouses, and MLOps. Be ready to discuss how you've used SQL and Python in past projects to make data-driven decisions.
✨Showcase Your B2B Experience
Make sure to highlight your experience in B2B or B2B2C environments, especially if it's within Financial Services or Asset Management. Prepare specific examples of how you've launched data platforms or AI-enabled products that had a significant impact on business outcomes.
✨Communicate Like a Pro
Your ability to influence a diverse audience is crucial. Practice explaining complex technical concepts in simple terms. Think about how you can tailor your communication style to resonate with both C-suite leaders and technical teams during the interview.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Prepare to discuss how you would approach transforming raw data into strategic assets. Use real-life examples to illustrate your thought process and decision-making skills.