Data Manager

Data Manager - Charity Sector - £67,752 - Hybrid 2 days in City HQ

A newly created role, this charity are looking for an experienced Data Manager to provide professional leadership and hands-on support across their data management work.

You'll develop applications for new data, negotiate permissions and data sharing agreements, write policies on metadata, dataset structure, and governance, and ensure they are followed. You will also provide expertise and support to maintain relevant accreditation, including ISO27001 and the NHS Data Protection and Security Toolkit.

We're looking for someone with a strategic mindset and a strong grasp of the detail; someone comfortable navigating technical complexity, with deep knowledge of data platforms, information governance, and data security. You'll work closely with colleagues in IT, compliance, and across the charity to promote high standards of data management and support continuous improvement. Strong leadership, communication, and consultative skills are essential.

• Data management delivery
• Strategy and technical leadership
• Governance, compliance, and security
• Team leadership and management
• Collaboration and stakeholder engagement

Data Manager - Experience Required:

• Commitment to continuous improvement and high standards in data practice.
• Significant experience in managing large and complex datasets within a research, public sector, or healthcare environment.
• Strong knowledge of data governance, security, ethics and compliance standards and frameworks (e.g., GDPR,ISO27001).
• Experience of working with health or administrative data sources such as HES, CPRD, or similar.
• Experience of developing and maintaining data documentation, metadata, and access control records.
• Proven track record in leading data management processes, including data sharing agreements and secure data transfers.
• Experience managing or mentoring others, with a focus on professional development and team cohesion.
• Strong understanding of statistical disclosure control and data anonymisation techniques.
• Strong understanding of data platforms and databases.
• Familiarity with scripting languages for data transformation and analysis(e.g. R, Python), query languages (e.g. SQL) and data engineering tools and concepts such as ETL pipelines, data quality checks.