Job purpose: Our IT mission is to transform the way data is delivered to customers and colleagues across the world with the emphasis on simplicity, mobility, and efficiency. Data and
Analytics will be central to enabling our colleagues to focus more on our customers and increasing revenue by providing innovative and deeper insights into our customers, as well as

the ability to use these insights to personalise the customer journey across channels.

Reporting to the BI and Analytics Manager, the Data Solution Designer is an important member of the BI and Analytics Hub Team. Their primary focus is to understand Sage’s processes
deeply, using business knowledge and deep data analysis of the core data for these concepts. Supporting the Senior Data Solution Designer they will help to architect key enterprise

data solutions which are changing how we view and use data at Sage. Using cutting edge data concepts and tooling, the Data Solution Designer will bridge the business and technology

to harness the value of data enabling close collaboration across Sage. Working closely with teams of analysts, data architects, data scientists and data engineers to ensure our enterprise
data at Sage is modelled, defined and of quality, meeting the current and future business needs.

The Data Solution Designer is a key role within the BI and Analytics Hub team and will contribute to the team’s main objectives:

- Deliver data solutions and services that ensure our colleagues can connect with our customers in the most optimal way across channels
- Transform a complex and fragmented IT data estate by bringing together previously disparate sources of data and providing a managed, single version of the truth
- Ensure data integrity by mastering and modelling data centrally and providing views or the ability for our colleagues to interact with the data to meet their needs
- Rationalise data integrations between downstream and upstream systems via a central platform to simplify our colleagues and customers’ experience and minimise risk
- Create a culture of data-driven experimentation, promote the value of our data through insights and analytics and demonstrate the tools/emerging tech to support this