Data Asset Manager
| Company: | Jisc |
|---|---|
| Salary: | from £40,000 a year |
| Hours: | Full-time |
| Location: | Bristol, BS1 6NB |
| Working pattern: | Hybrid - 3 days remote |
| Job type: | Permanent |
| Posting date: | 12 Oct 2026 |
| Closing date: | 26 Oct 2026 |
Summary
About the team
Within our Licensing team, we broker agreements with leading vendors for digital content and software solutions—helping universities and colleges deliver an outstanding student experience, drive world-class research, and enable transformational change.
Our Data and Intelligence portfolio plays a vital role in everything we do. It provides the insight, analysis and evidence base that underpins our negotiations and supports smarter decision-making across the sector.
In this role, you’ll contribute to a team that:
• Supports major licensing and negotiation activity through high-quality data analysis, insight and intelligence
• Collects, processes and curates trusted datasets, enabling access to high-quality data products for Jisc and our partners
• Measures the impact and value of Jisc’s services and agreements using advanced analytics
• Delivers research, market intelligence and data-driven products that inform strategy and enable evidence-based decision-making
• Drives insight and thought leadership across the sector, supporting our members, customers and funders
The role:
As a Data Asset Manager within the Data & Intelligence team, you will support the governance, acquisition and management of Licensing data assets, ensuring alignment with organisational and sector-wide standards. Working closely with data stewards, data engineers and business stakeholders, you will help design and improve data-centric processes, support the integration of data assets into platforms such as Databricks, and oversee the lifecycle management of data and software assets.
You will champion best practice in data governance, driving improvements in data quality, metadata, lineage and data literacy across the business. The role will focus on transforming data assets into business value by developing governance frameworks, supporting data asset roadmaps, and ensuring data is trusted, accessible and fit for purpose to meet current and future business needs.