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For Companies At a Glance
- Tasks: Lead the lifecycle of Data and Machine Learning products, driving strategy and delivery.
- Company: Join a top UK brand focused on innovation in data and technology.
- Benefits: Enjoy hybrid working with 3 days onsite in London and competitive salary.
- Why this job: Be part of a dynamic team shaping the future of data products with real impact.
- Qualifications: 5+ years in Data product management, experience with Azure and Databricks required.
- Other info: Referral bonus available for successful candidate introductions.
The predicted salary is between 72000 - 84000 £ per year.
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 outclass.
The Data & ML Product Lead will oversee the lifecycle of Data and Machine Learning products, driving the data strategy, development and delivery of the products. The position will benefit from hybrid working of 3 days a week onsite from their London office.
Responsibilities of the Senior Data Product Manager:- Drive the Data Product strategy, focusing on Azure and Databricks.
- Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully.
- Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products.
- Track the data product performance to drive continuous improvement.
- Lead a team of Product Managers.
- 5+ years’ experience in Data product management with a background delivering data products within Azure and Databricks.
- A background in financial services, insurance, or a related sector, with an understanding of how data products create business value.
- Experience managing and establishing governance.
- Strong understanding of Azure products and Databricks.
- Background in Machine Learning (ML) analytics and deploying products.
- Proven ability to mentor teams and lead continuous improvement in the data environment.
- Excellent communication skills, attention to detail and self-starter.
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 Azure and Databricks, as these are crucial for the role. Consider taking online courses or certifications to deepen your understanding and showcase your commitment to mastering these platforms.
✨Tip Number 2
Network with professionals in the data product management field, especially those with experience in financial services. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends and challenges.
✨Tip Number 3
Prepare to discuss your previous experiences in managing data products and how you've driven their success. Be ready to share specific examples of how you've collaborated with stakeholders and led teams to achieve product goals.
✨Tip Number 4
Stay updated on the latest developments in machine learning and data governance. Being knowledgeable about current best practices will not only help you in interviews but also demonstrate your passion for the field.
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data product management, particularly with Azure and Databricks. Use specific examples that demonstrate your ability to drive product strategy and manage the full lifecycle of data products.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and machine learning products. Mention how your background in financial services or related sectors aligns with the company's goals and how you can contribute to their success.
Showcase Relevant Skills: Emphasise your skills in governance, performance tracking, and team leadership. Provide concrete examples of how you've mentored teams and driven continuous improvement in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at VIQU Limited
✨Showcase Your Data Expertise
Make sure to highlight your experience with Azure and Databricks during the interview. Prepare specific examples of how you've successfully managed data products in the past, focusing on the impact they had on business outcomes.
✨Demonstrate Leadership Skills
As a Senior Data Product Manager, you'll be leading a team. Be ready to discuss your leadership style and provide examples of how you've mentored teams or driven continuous improvement in previous roles.
✨Understand the Business Context
Familiarise yourself with the financial services or insurance sectors, as this role requires an understanding of how data products create business value. Be prepared to discuss how your background aligns with these industries.
✨Prepare for Stakeholder Collaboration
Since collaboration with stakeholders is key, think about how you can effectively communicate complex data concepts to non-technical audiences. Prepare to share examples of successful stakeholder engagement from your past experiences.
