Hybrid Data Quality & Governance Lead β€” Leeds

Hybrid Data Quality & Governance Lead β€” Leeds

Leeds Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
LA International

At a Glance

  • Tasks: Lead data quality and governance initiatives, ensuring accurate data management.
  • Company: LA International, a forward-thinking organisation in the tech sector.
  • Benefits: Competitive daily rate, hybrid work model, and potential contract extensions.
  • Other info: Opportunity for professional growth in a dynamic, collaborative environment.
  • Why this job: Shape data governance processes and make a significant impact on data integrity.
  • Qualifications: Experience in data management and governance, strong communication skills.

The predicted salary is between 40000 - 50000 Β£ per year.

LA International is seeking a Data Quality/Governance Lead for a 3-month contract with extensions. Hybrid work with up to 2 days per week on-site in Leeds. Rate: Β£400 - Β£500 per day via Umbrella.

You will act as intermediary between Data Owners, Stewards and the Data Directorate, defining processes, governance and standards to manage data, and ensuring a Single Version of Truth through lineage, metadata and quality rules.

Hybrid Data Quality & Governance Lead β€” Leeds employer: LA International

LA International is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Amazon Connect Engineers to thrive. With a focus on employee growth and development, the company offers opportunities for skill enhancement and career progression, all while working in a hybrid environment that promotes work-life balance. Located in a vibrant area, employees benefit from a dynamic atmosphere that encourages creativity and teamwork, ensuring a rewarding and meaningful employment experience.

LA International

Contact Details:

LA International Recruitment Team

We think you need these skills to ace Hybrid Data Quality & Governance Lead β€” Leeds

Communication Skills
Problem-Solving Skills
SQL
Data Governance
Automation
Attention to Detail
Data Engineering