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- Tasks: Shape an innovative AI-native data platform and define product vision.
- Company: Global data analytics company with a focus on innovation.
- Benefits: Salary up to £80k, 10% bonus, remote-first work, and great benefits.
- Why this job: Lead the future of AI data platforms and make a real impact.
- Qualifications: Strong data literacy and ability to work autonomously.
- Other info: Dynamic environment with opportunities for occasional travel.
The predicted salary is between 70000 - 80000 £ per year.
A global data analytics company is looking for a Senior Product Owner to shape an innovative AI-native data platform. In this fast-paced role, you will define the product vision and strategy while collaborating with engineering and data science teams. The position requires strong data literacy and the ability to operate autonomously in a dynamic environment.
The salary ranges from £70k to £80k, plus a 10% bonus and benefits, with a remote-first work model that encourages occasional travel to Edinburgh or London.
Senior Product Owner, AI Data Platform employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Owner, AI Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Prepare for the interview by diving deep into the company’s products and values. Show us you’re not just another candidate; demonstrate your passion for their mission and how your skills align with their goals.
✨Tip Number 3
Practice makes perfect! Run through common interview questions and scenarios related to product ownership and AI data platforms. The more comfortable you are, the better you'll shine during the real deal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Product Owner, AI Data Platform
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and data shine through. We want to see how you can contribute to shaping our innovative AI-native data platform, so share any relevant experiences or projects that highlight your passion.
Be Clear About Your Vision: As a Senior Product Owner, you'll need to define product vision and strategy. In your application, clearly articulate your vision for the role and how you plan to collaborate with engineering and data science teams. This will help us understand your approach and mindset.
Highlight Your Data Literacy: Strong data literacy is key for this role. Make sure to showcase your experience with data analytics and any tools you've used. We want to know how you interpret data and make informed decisions, so don’t hold back on those details!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Cathcart Technology
✨Know Your Product Vision
Before the interview, take some time to think about what a strong product vision looks like for an AI-native data platform. Be ready to discuss your ideas and how they align with the company's goals. This shows that you’re not just interested in the role but also invested in the company’s future.
✨Showcase Your Data Literacy
Since the role requires strong data literacy, prepare examples from your past experiences where you've successfully used data to drive decisions. Be specific about the tools and methodologies you employed, as this will demonstrate your capability to operate autonomously in a data-driven environment.
✨Collaborate Like a Pro
Collaboration is key in this role, so be prepared to discuss how you've worked with engineering and data science teams in the past. Share specific instances where your collaboration led to successful outcomes, highlighting your ability to bridge gaps between technical and non-technical stakeholders.
✨Embrace the Remote Work Culture
With a remote-first work model, it’s important to show that you can thrive in a virtual environment. Talk about your experience with remote collaboration tools and how you maintain productivity and communication when working from home. This will reassure them that you can adapt to their work culture.
