At a Glance
- Tasks: Lead data quality initiatives and collaborate with teams to ensure data accuracy and compliance.
- Company: Join Deloitte UK, a leader in data solutions and innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and career advancement.
- Why this job: Be at the forefront of AI and GenAI readiness while making a real impact.
- Qualifications: Experience in data quality management and strong collaboration skills.
The predicted salary is between 59400 - 72600 £ per year.
Deloitte UK Data Office is seeking an Assistant Data Quality Manager to help design, implement, and operate the firm’s data quality framework. You will work with Data Quality Managers, Data Owners, Data Stewards, and AI/ML teams to ensure data is accurate, complete, and fit for purpose, underpinning reporting, regulatory compliance, and GenAI initiatives.
This role focuses on profiling, rule definition, cleansing, monitoring, and documenting processes, while collaborating across functions.
Data Quality Lead for AI & GenAI Readiness employer: Hm Revenue & Customs (Hmrc)
HM Revenue & Customs (HMRC) is an excellent employer for those looking to make a meaningful impact in the media sector. With a strong commitment to employee development, a collaborative work culture, and the flexibility of hybrid working arrangements in London, HMRC provides a supportive environment where individuals can thrive and grow their careers while contributing to innovative operational designs.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Lead for AI & GenAI Readiness
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We think you need these skills to ace Data Quality Lead for AI & GenAI Readiness
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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