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For Companies At a Glance
- Tasks: Lead data and machine learning product initiatives, driving innovation and strategy.
- Company: Join a top UK brand renowned for excellence in data and technology.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team focused on cutting-edge technology and impactful projects.
- Qualifications: Experience in product management and a strong understanding of data and ML is essential.
- Other info: This role offers a chance to shape the future of data-driven solutions.
The predicted salary is between 72000 - 84000 £ per year.
Senior Data Product Manager – London/ Hybrid £90,000 to £100,000
VIQU have partnered with one of the UK's leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outcomes.
Data Product Manager employer: VIQU Limited
Contact Detail:
VIQU Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data and machine learning. Being able to discuss current technologies and how they can be applied in a business context will show your passion and expertise during interviews.
✨Tip Number 2
Network with professionals in the data product management field. Attend industry events or join online forums to connect with others who can provide insights or even refer you to opportunities at companies like ours.
✨Tip Number 3
Prepare to showcase your experience with data-driven decision-making. Be ready to share specific examples of how you've used data to influence product strategy or improve user experience in previous roles.
✨Tip Number 4
Research our company culture and values. Understanding what we stand for will help you tailor your conversations and demonstrate how you align with our mission, making you a more attractive candidate.
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Data Product Manager position. Make sure you understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data and machine learning products. Use specific examples to demonstrate how your background aligns with the company's goals and the role's requirements.
Craft a Compelling Cover Letter: Write a personalised cover letter that showcases your passion for data and technology. Explain why you want to work for this particular company and how you can contribute to their success in the field.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at VIQU Limited
✨Understand the Company’s Data Vision
Before your interview, make sure to research the company's approach to data and machine learning. Familiarise yourself with their products and how they leverage data to enhance customer experience. This will show your genuine interest and help you align your answers with their goals.
✨Prepare for Technical Questions
As a Data Product Manager, you may face technical questions related to data analysis, product management methodologies, and machine learning concepts. Brush up on relevant tools and frameworks, and be ready to discuss how you've applied them in past projects.
✨Showcase Your Leadership Skills
Highlight your experience in leading cross-functional teams and managing stakeholders. Be prepared to share specific examples of how you've successfully driven product development and navigated challenges in previous roles.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company’s data strategy and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career aspirations.
