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For Companies At a Glance
- Tasks: Lead the transformation of raw data into strategic assets for global clients.
- Company: Join a forward-thinking company at the forefront of AI and data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Be a key player in shaping the future of data products and AI solutions.
- Qualifications: 5+ years in Product Management with expertise in data platforms and AI products.
The predicted salary is between 60000 - 80000 £ 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).
Technical Skills Required
- Data Tools: SQL, Python, Snowflake/Databricks, Tableau/Power BI.
- Frameworks: Agile/Scrum, MLOps, Data Governance, Metadata Management.
- Integration: API design, event-driven architecture, and data modeling.
Product Manager employer: Randstad Digital
Contact Detail:
Randstad Digital 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 your connections in the industry, especially those in Product Management or related fields. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies of your past projects, especially those involving data platforms or AI products. This will give potential employers a clear view 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 SQL, Python, and your experience with Data Lakes or MLOps. We want to see how you can turn raw 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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product Manager role. Highlight your experience with data platforms and AI-enabled products, especially in B2B environments. We want to see how your background aligns with our mission!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills! Mention your hands-on experience with SQL, Python, and data tools like Snowflake. We love seeing how you can leverage these skills to drive product decisions.
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. We’re looking for someone who can influence diverse audiences, so let that enthusiasm come through!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Randstad Digital
✨Know Your Data Inside Out
As a Product Manager for AI Data Products, you need to be well-versed in data platforms and tools. Brush up on your knowledge of SQL, Python, and the specific data technologies mentioned in the job description, like Snowflake and Databricks. Be ready to discuss how you've used these tools in past projects.
✨Showcase Your B2B Experience
Since the role requires experience in B2B or B2B2C environments, prepare examples from your previous roles that highlight your understanding of these markets. Discuss how you've successfully launched data products in similar regulated industries, like Financial Services or Asset Management.
✨Communicate Like a Pro
You’ll need to influence a diverse audience, so practice articulating complex technical concepts in simple terms. Prepare to explain your product decisions and strategies clearly, ensuring you can engage both C-suite leaders and technical teams effectively.
✨Demonstrate Agile Mindset
Familiarise yourself with Agile/Scrum methodologies, as they are crucial for this role. Be prepared to discuss how you've implemented these frameworks in your previous projects, and share specific examples of how they helped improve product delivery and team collaboration.