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- Tasks: Lead the development of frameworks for enterprise-wide data quality and governance.
- Company: A top-tier data management company focused on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data quality management and collaborate with senior leaders.
- Qualifications: Strong business acumen, technical skills, and excellent collaboration abilities.
- Other info: Join a dynamic team dedicated to transforming data quality across various domains.
The predicted salary is between 36000 - 60000 £ per year.
A leading data management company is seeking a Data Quality Capabilities SME to build frameworks for enterprise-wide data quality. You will work closely with senior leaders to ensure effective implementation and governance of data quality standards.
The ideal candidate will have strong business acumen, technical awareness, and collaboration skills, and will contribute to transforming data quality management across business domains. This is a strategic role requiring a blend of technical expertise and relationship management.
Data Quality Capabilities Lead — Strategy & Governance employer: Howden
Contact Detail:
Howden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Capabilities Lead — Strategy & Governance
✨Tip Number 1
Network like a pro! Reach out to professionals in the data management field on LinkedIn or at industry events. Building relationships can open doors and give you insights into unadvertised roles.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with data quality frameworks. This will demonstrate your capabilities and make you stand out during interviews.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills align with the company's goals. Tailor your message to show how you can contribute to their data quality strategy and governance.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Quality Capabilities Lead — Strategy & Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Quality Capabilities Lead. Highlight your experience in building frameworks and your understanding of data quality standards. We want to see how your skills align with our needs!
Showcase Your Collaboration Skills: Since this role involves working closely with senior leaders, it’s crucial to demonstrate your collaboration skills. Share examples of how you've successfully partnered with others to achieve common goals. We love a team player!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to complex topics like data quality.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Howden
✨Know Your Data Quality Standards
Make sure you’re well-versed in the latest data quality standards and frameworks. Research the company’s current practices and be ready to discuss how you can enhance their governance and implementation strategies.
✨Showcase Your Business Acumen
Prepare examples that demonstrate your understanding of how data quality impacts business outcomes. Be ready to discuss how your previous experiences have contributed to strategic decision-making and improved data management.
✨Highlight Collaboration Skills
Since this role involves working closely with senior leaders, think of instances where you successfully collaborated across teams. Share specific examples that showcase your ability to build relationships and drive consensus on data quality initiatives.
✨Prepare for Technical Questions
Brush up on your technical knowledge related to data management tools and methodologies. Be prepared to answer questions about data quality metrics, governance frameworks, and any relevant technologies that could benefit the company.
