Data Manager
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Role details
Tech stack
Job description
An exciting opportunity has arisen for an experienced Data Manager to lead a large scale data transformation for a rapidly growing and well respected organisation based in Wakefield.
This brand new role is perfect for someone passionate about building a data estate from scratch, improving data quality, and implementing a structured, future proof data governance framework. You’ll have the freedom and backing to drive real change and shape how data is stored, managed, and leveraged across the business., This is a unique opportunity for a Data Manager to join a growing business at a pivotal stage in its digital transformation journey, with autonomy, support, and a clear mandate to make meaningful change.
- Conduct a full assessment of the current data estate, identifying where data is stored, gaps in structure, and migration requirements.
- Develop a comprehensive data roadmap, including governance policies, documentation, and clear steps to achieve a modern, unified data environment.
- Lead the data migration process from legacy and acquired systems, ensuring accuracy, integrity, and minimal disruption.
- Manage and improve data quality across multiple systems, ensuring consistency, reliability, and context.
- Identify opportunities to automate processes and improve efficiency using digital tools.
- Oversee data storage and input procedures to ensure compliance and operational efficiency.
- Collaborate with internal teams, a small BI development team, and third-party consultancies to deliver data transformation initiatives.
- Communicate data strategies effectively to non-technical stakeholders, ensuring alignment across the business.
Requirements
- Proven experience in data management, with a focus on data migration, governance, and quality improvement.
- Demonstrable experience leading data transformations across complex, enterprise-level systems.
- Strong understanding of data automation, storage, and input processes.
- Experience working with or managing third-party vendors or consultancies.
- Excellent analytical, problem-solving, and communication skills, able to present data insights clearly to non-technical stakeholders.
- Familiarity with modern data tools, cloud-based storage, M365/Power Apps, and data visualisation platforms.
Benefits & conditions
- Hybrid working model - primarily Wakefield-based with one day a week in London.
- Comprehensive healthcare package.
- Ongoing professional development and training opportunities.
- The chance to build a data estate from scratch, influence the organisation’s data strategy, and deliver tangible impact.
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