Remediation Data Lead: Data Strategy & Governance

Remediation Data Lead: Data Strategy & Governance

Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
Public Sector Resourcing

At a Glance

  • Tasks: Lead a data team and manage remediation data pipelines for quality and reporting.
  • Company: Join National Savings and Investments, a key player in the public sector.
  • Benefits: Hybrid working model, competitive pay, and opportunities for professional growth.
  • Other info: 18-month contract with potential for career advancement.
  • Why this job: Make a real difference in data governance while leading innovative projects.
  • Qualifications: Experience in data management and strong leadership skills required.

The predicted salary is between 60000 - 75000 Β£ per year.

National Savings and Investments (via Public Sector Resourcing) seeks a Remediation Data Lead for an 18-month Inside IR35 hybrid contract in London.

You will head the data team, oversee remediation data pipelines, and liaise with providers and internal teams to ensure data quality and timely reporting at all levels.

Key responsibilities include managing the remediation data ecosystem, coordinating data transfers, and producing governance-ready updates.

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Remediation Data Lead: Data Strategy & Governance employer: Public Sector Resourcing

As an employer, Public Sector Resourcing offers a dynamic and impactful work environment where you can contribute to meaningful projects within The Ministry of Justice. With a strong focus on employee development and a collaborative culture, you will have the opportunity to lead innovative AI initiatives while enjoying the flexibility of hybrid working in London. Join us to be part of a forward-thinking team that values your expertise and fosters professional growth.

Public Sector Resourcing

Contact Details:

Public Sector Resourcing Recruitment Team

We think you need these skills to ace Remediation Data Lead: Data Strategy & Governance

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