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- Tasks: Lead the data strategy and manage a team of data specialists in a dynamic environment.
- Company: Join Carousel Consultancy Ltd, a leading recruitment partner supporting clients across the UK and internationally.
- Benefits: Enjoy a competitive salary of £100k+, hybrid work options, and additional perks.
- Why this job: Be part of a forward-thinking organisation that values innovation and data-driven decision-making.
- Qualifications: Extensive experience in data management, strong leadership skills, and a keen interest in AI required.
- Other info: Ideal for tech-savvy individuals ready to influence at a senior level.
The predicted salary is between 72000 - 120000 £ per year.
We are on the hunt for an experienced Data Management Specialist, with solid experience in data migration, data warehouses and reporting to join a fabulous organisation based in Central London and head up the Data team. Joining a well-established and successful organisation, the Head of Data Management will drive the long-term data strategy to ensure a data-centric approach is taken by the entire company.
Suitable candidates will be tech savvy with a keen interest in AI and the ability to grasp new and evolving technology quickly and efficiently. Experience leading data teams is essential for this challenging and fast-paced role.
Key responsibilities will include:
- Leading and delivering the data strategy for the entire organisation
- Managing all data related projects
- Leading a team of data specialists
- Establishing and facilitating suitable data governance framework
- Maintaining data security and mitigating risk
- Supporting GDPR compliance
- Managing data reporting and analytics
- Implementing and managing best practice procedures and good data management
What we’re looking for:
- Extensive senior level experience in data management including data migration, data warehouses and reporting
- Strong team leader experience in a fast-paced, professional services environment
- Excellent technology skills and a keen interest in AI
- A degree / qualification in a relevant subject is advantageous (IT, Computer Science, Information Security etc)
- Data lifecycle management knowledge
- Knowledge and experience of meeting data governance requirements
- Solid knowledge of UK GDPR and the Data Protection Act
- Excellent project management capabilities
- Strategic and innovative approach
- Excellent communication skills at all levels and with non-technical colleagues
- Forward-thinking and collaborative approach
- Good commercial acumen
- The ability to quickly gain credibility, be a data management expert and influence at a senior level
Interested in this great opportunity? If you have extensive senior experience in Data Management and are looking for an exciting new role, we’d love to hear from you! Please ensure your CV showcases your expertise and capabilities and submit it ASAP, quoting ‘LO - Head of Data Management - London’.
Head of Data Management employer: Carousel Consultancy Ltd
Contact Detail:
Carousel Consultancy Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Management
✨Tip Number 1
Network with professionals in the data management field, especially those who have experience in leading teams. Attend industry events or webinars to connect with potential colleagues and mentors who can provide insights into the role and the organisation.
✨Tip Number 2
Familiarise yourself with the latest trends in data management and AI technologies. Being able to discuss these topics knowledgeably during interviews will demonstrate your passion and commitment to staying ahead in the field.
✨Tip Number 3
Prepare to showcase your leadership skills by gathering examples of how you've successfully led data teams in the past. Be ready to discuss specific projects where you implemented data strategies and achieved measurable results.
✨Tip Number 4
Research the company’s current data practices and any recent news related to their data strategy. This will allow you to tailor your discussions during interviews and show that you are genuinely interested in contributing to their goals.
We think you need these skills to ace Head of Data Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data management, particularly in areas like data migration and reporting. Use specific examples to demonstrate your leadership skills and successful projects you've managed.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your keen interest in AI and how you can drive the data strategy for the organisation. Mention your understanding of GDPR compliance and data governance.
Showcase Relevant Skills: In your application, emphasise your technology skills and any relevant qualifications. Highlight your project management capabilities and your strategic approach to data management, as these are key aspects of the role.
Follow Application Instructions: Ensure you quote ‘LO - Head of Data Management - London’ in your application as specified. This shows attention to detail and ensures your application is directed to the right person.
How to prepare for a job interview at Carousel Consultancy Ltd
✨Showcase Your Leadership Skills
As a Head of Data Management, you'll be leading a team. Be prepared to discuss your previous leadership experiences, how you motivate your team, and any challenges you've overcome in managing data projects.
✨Demonstrate Technical Proficiency
Make sure to highlight your technical skills, especially in data migration, data warehouses, and reporting. Be ready to discuss specific technologies you've worked with and how they can benefit the organisation.
✨Understand Data Governance and Compliance
Familiarise yourself with UK GDPR and the Data Protection Act. Be prepared to explain how you've implemented data governance frameworks in past roles and how you ensure compliance within your teams.
✨Communicate Effectively with Non-Technical Stakeholders
Since you'll be working with colleagues at all levels, practice explaining complex data concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
