At a Glance
- Tasks: Lead data management initiatives and ensure data quality across systems.
- Company: Join a leading UK brand committed to data excellence and innovation.
- Benefits: Competitive salary, bonus, hybrid work model, and career growth opportunities.
- Other info: Exciting opportunity with a focus on cutting-edge technologies and compliance.
- Why this job: Shape the future of data practices in a dynamic and supportive environment.
- Qualifications: Experience in data governance and strong collaboration skills required.
VIQU has partnered with one of the UK’s leading brands, currently seeking a Data Management Lead to join their developing data team as they continue to go from strength to strength. Committed to excellence, they aim to lead the field with their expertise in data and technology. The organisation has restructured its operations to better serve customers, adopt cutting-edge technologies, and drive exceptional business growth.
The Data Management Lead will work closely with data governance, engineering and business teams, playing a key role in shaping and managing the organisation’s data practices. This will include maintaining data quality, governance, and ensuring compliance across all areas. The successful Data Management Lead will be responsible for building and deploying effective data management structures for the company’s Enterprise Data Foundation, with the implementation being guided by relevant use cases.
Key Responsibilities of the Data Management Lead:
- Ensure data integrity by maintaining accuracy, consistency, and trust across systems.
- Establish clear data flow tracking and enforce strong governance practices to maintain control.
- Oversee compliance with data privacy regulations and work closely with IT to secure sensitive information.
- Manage master data to ensure consistency across all platforms and systems.
- Collaborate across teams to embed data management best practices throughout the data lifecycle.
- Drive awareness of data management policies through focused training and education programmes.
- Implement tools and KPIs to monitor and continuously improve the quality of key data assets.
Essential Requirements of the Data Management Lead:
- In-depth understanding of the insurance industry and its specific data needs.
- Proven track record in creating and executing strategic roadmaps and implementation plans.
- Hands-on experience with data governance, quality management, metadata, lineage, and master/reference data strategies, including compliance.
- Proficiency in using data management platforms such as Purview, Collibra, and Informatica.
- Experience with cloud-based data platforms like Azure, and familiarity with data governance tools.
- Strong ability to collaborate with diverse teams to design and implement effective data management solutions.
To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant.
Data Management Lead employer: VIQU IT
At VIQU, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Management Lead in London, you will benefit from a hybrid working model, competitive salary, and bonus structure, while also having access to extensive professional development opportunities within a leading brand in the insurance industry. Join us to be part of a forward-thinking team dedicated to excellence in data management and technology.
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We think this is how you could land Data Management Lead
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We think you need these skills to ace Data Management Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
